MongoDB Blog
Announcements, updates, news, and more
BAAC Transforms Rural Banking With MongoDB-Powered Mobile App
One of Thailand’s largest state-owned banks, the Bank for Agriculture and Agricultural Co-operatives (BAAC), serves over 32 million customers and 7 million farmer households across Thailand. BAAC is focused on rural development, and the bank provides essential funding, knowledge, technology, and value-added services to Thai farmers.
Celebrating Graduation Season with MongoDB Student Projects
Welcome to a showcase of student innovation from KL University Hyderabad! In this blog post, we spotlight outstanding projects developed by KL University Hyderabad students using MongoDB in their Python Full Stack Development curriculum. These projects exemplify the creativity, technical expertise, and social consciousness of the students. Under the mentorship of Professor Chanda Raj Kumar, the integration of MongoDB into the students’ Python Full Stack Development journey has not only expanded their technical skillset but also allowed them to address pressing real-world challenges.
Production-Ready Agents Need a Production-Ready Data Platform
There’s a common theme to the conversations I’ve been having with AI teams lately: change. Constant, head-spinning change. Teams across industries are evaluating and re-evaluating model providers, agent frameworks, and harnesses on a continuous basis.
TNL Mediagene Builds a Data-Driven Content Platform with MongoDB Atlas
TNL Mediagene is a technology and digital media company providing AI-driven advertising, marketing technology, content commerce, and data analytics solutions, and operating multi-language digital media brands across Asia, with operations in Taiwan and Japan. Its portfolio features leading Chinese, Japanese, and English-language media brands, including The News Lens, Cool3C, Roomie, and Business Insider Taiwan. Widely recognized for its diverse content and in-depth reporting, the group is redefining media and news services in the digital age.
AI Is Changing What Customers Need From a Database. MongoDB 8.3 Is Built for It
Today, we announced at .local London that MongoDB 8.3 is built for the speed AI demands—and our customers can't afford to wait. The data layer has to move at AI speed The old contract between databases and the applications on top of them was simple: databases improve slowly, and architectures evolve around them. AI has changed that contract. The workloads our customers are shipping today—agents retrieving at sub-100ms, retry storms hitting in milliseconds, multi-region deployments that can't trade compliance for latency—were edge cases 18 months ago. Now they're the baseline. MongoDB 8.3, generally available today, is our fourth significant release in 19 months. These releases compound. Customers running on 8.0 have seen 36% faster reads and 59% higher throughput for updates. 8.3 adds another 35% to write throughput, 45% to reads, and 15% to ACID transactions over 8.0 — without changing a line of application code. Enterprises like Adobe, running the most demanding AI in production, have made the requirements clear: sub-100ms retrieval, sub-second context updates, zero downtime. That's what MongoDB Atlas is built for. That's the commitment: when the data platform keeps pace, our customers can focus on shipping. MongoDB.local London Core Blog 2026 - Image 1 media Run anywhere. Stay secure. Where you run your agents isn't just an infrastructure decision anymore. Now, it's a critical compliance and security decision as well. While most platforms force a trade-off between global reach and necessary control, with 130 regions across AWS, Google Cloud, and Microsoft Azure, Atlas doesn’t force you to compromise. Atlas even enables clusters spanning multiple providers simultaneously. Avalara and Iron Mountain both took the cloud-agnostic path, modernizing on Atlas so they could meet their customers wherever they ran. The deployment shape changes. The data layer underneath doesn't. What's shifted in the last year is the pressure on both ends. Customers want retrieval and embedding capabilities closer to their users, in more places, on more clouds. They also want more authority over the residency of their data. Those two demands used to be in tension. They don't have to be. Cross-region connectivity for AWS PrivateLink, generally available today, is the clearest example. Traffic between Atlas clusters in different AWS regions stays on the AWS private backbone, with no public internet exposure. Security and compliance teams get the guarantees they need. Engineering teams design around fewer edge cases. Nobody has to make a trade-off. Built to keep pace Every capability in this post addresses friction that technical leaders have been engineering around for years. They solve different problems, but share one objective: to eliminate the infrastructure trade-offs that slow down production of AI. The AI workloads our customers will run 18 months from now will look different from those today. That's not a risk. That's the point. Four significant releases in 19 months isn't a marketing number. It's a signal about how seriously we take the current pace of change, and our commitment to staying ahead of it for our 65,200+ customers. Getting agents to retrieve the right information, accurately and at speed, is where embeddings and memory come in. Pablo Stern covers that in his blog, The Bottleneck in Enterprise AI Isn't the Model. It's the Data.
Innovating with MongoDB | Customer Successes, April 2026
The energy across the tech industry is high, but it’s shifting. While the initial wave of excitement around generative AI was defined by what was possible in a sandbox, we are squarely in the era of execution. I spend more and more of my time talking to founders who are working to move past experimentation, and to build autonomous systems that handle high-stakes tasks without human intervention.
Security in the Age of AI
Everything we do at MongoDB starts with customers and we work backward from their needs. As a result, I frequently engage with customers, partners, and industry peers to proactively find new ways to collectively strengthen our defenses—ideally, long before any issues arise.
A Year of Momentum: Why MongoDB Is Winning by Collaborating with Google Cloud
Today, the race to deploy AI is at an inflection point—2026 is the year of the mandate, and making good on AI’s promise. Enterprises are no longer satisfied with chatbots; they are focused on building the next generation of AI applications: autonomous, agentic systems that can reason, act, and execute complex business logic.
LG Uplus Works With MongoDB to Expand AI Services and Modernize Architecture
LG Uplus, a key subsidiary of LG Corporation and a leader in mobile, internet, and AI transformation, today announced that it will work with MongoDB to expand the use of generative AI and accelerate its modernization strategy across the company.
Google Cloud Pub/Sub is Now Supported in Atlas Stream Processing
Atlas Stream Processing lets developers build real-time data pipelines directly within MongoDB, without stitching together separate streaming infrastructure. Today, we're extending that reach with native Google Cloud Pub/Sub sink support.
Design and Develop Apps on MongoDB Faster with Google ADC
The journey from an initial vision to a production-grade application is often stalled by the infrastructure tax, those grueling hours spent navigating complex configurations and rigid data schemas. In the modern cloud landscape, the integration of MongoDB Atlas with Google Cloud’s Application Design Center (ADC) is helping to eliminate these hurdles by offering a unified path for visualizing, designing, and deploying cloud-native applications at scale.
New Research Reveals Overcoming Legacy Tech Issues Key to AI Success
This guest post comes from IDC’s Dr. William Lee, Senior Research Director, Service Provider and Core Infrastructure Research. MongoDB commissioned IDC to explore the connection between legacy infrastructure, data challenges, and AI across Asia Pacific, and today we’re happy to share that work. For more, see the full MongoDB-sponsored IDC InfoBrief, Modernizing Legacy: Winning in the Age of AI, Doc #AP242555-IB, April 2026. AI ambition is everywhere across Asia/Pacific. But ambition alone does not determine success. Organizations are discovering that AI outcomes are directly tied to the quality, accessibility, and modernity of their underlying technology stack and associated data technology foundations. Organizations that have managed to stay abreast of technical and data management changes across the application and infrastructure stacks, by embedding modernization into their organizational DNA, are experiencing 3x more digital revenue growth than those that are bound up in technical and data debt. To better understand this connection, IDC surveyed 1,400 organizations across eight Asia/Pacific markets. The findings reveal that modernization is no longer a side initiative. It is the core of a sustainable AI strategy. The AI readiness divide: Leaders versus mainstream IDC’s latest Asia/Pacific Modernization Survey, sponsored by MongoDB, identifies two distinct groups: The Mainstream Cohort: organizations still burdened by technical debt, siloed data, and skills gaps The Leaders Cohort: organizations that have embedded modernization into their strategy and experience the business results to match This divide is not theoretical. It is measurable in business performance. Organizations in the Leaders Cohort generate nearly three times more digital revenue than their peers. The difference is not simply higher AI spending. Leaders modernize core infrastructure, align executive support with transformation goals, and invest in skills development alongside technology. They treat AI readiness as an enterprise capability—not a standalone initiative. APAC IDC Blog Image 1 media The rigidity trap: Technical debt and AI failure risk A significant portion of Asia/Pacific organizations remain constrained by legacy architectures. According to IDC’s research, 43% report that their existing architecture is a major obstacle, making it difficult to build new applications without extensive modernization. This rigidity creates what IDC refers to as data debt—siloed, redundant, outdated, and poor-quality data that undermines AI performance and increases operational cost, and is in addition to the growing levels of technical debt that are being accumulated by organizations due to the slow modernization of older applications. When AI systems are trained on fragmented or inconsistent data: Outcomes become unreliable Bias risks increase Operational costs rise Business trust erodes IDC predicts that CIOs who fail to launch data debt remediation initiatives will face 50% higher AI failure rates and rising costs by 2027. Yet one-third of all enterprises continue to rely on legacy relational databases. Many such databases have been implemented in support of a wide array of business applications where business leaders expect they can use AI. Yet the legacy RDBMS-type databases are not capable of delivering on the dynamic, rapidly evolving, high-volume real-time demands that AI requires. Organizations that are unable to move to AI-ready application stacks are being left behind by those that have already made the switch. The gap between AI investment and infrastructure readiness is widening. APAC IDC Blog Image 2 media Legacy drag: The real business impact The consequences of technical debt are already visible. 95% of organizations report project delays 90% have experienced failed modernization initiatives 89% acknowledge technical debt as a major modernization obstacle In addition, organizations cite weak security integration, limited engagement with the business users, and outdated workflows as compounding challenges. Modernization failures are rarely just technical. They are organizational and structural. What sets leaders apart The Leaders Cohort does not operate in a constraint-free environment. Instead, they respond differently. IDC defines Leaders as organizations—across both digital-native and traditional industries—that have broken free from legacy rigidity and embedded modernization into ongoing operations. Their distinguishing characteristics include: Continuous, multi-pronged approaches to addressing legacy systems Alignment between executive leadership, funding, and AI outcomes Investment in modernization as a long-term capability, not a one-off project Strong focus on AI and modern application development skills The result is not just better IT performance. Leaders grow digital revenue faster and are positioned to extract value from AI initiatives earlier and more consistently than their peers. Cloud-centric data management: A strategic enabler Modern data platforms are central to this shift. In IDC’s research, 38% of Asia/Pacific organizations identify cloud-centric data management platforms as their top modernization investment priority for 2026. The motivation is clear: support hybrid architectures and AI workloads without introducing additional complexity. While AI enablement is a universal requirement, Leaders distinguish themselves by prioritizing: Security and compliance Flexibility across structured and unstructured data Scalable architectures aligned to modern AI toolchains This capability is increasingly critical. Much of today’s AI-relevant data—including content, sensor outputs, and customer interactions—resides in unstructured formats that traditional architectures struggle to integrate effectively. Handling both structured and unstructured data seamlessly has become a competitive differentiator. Modernization as a continuous strategy IDC’s perspective is clear: modernization is no longer a technology refresh cycle. It is a strategic operating model. Successful organizations approach modernization across three dimensions: People Leaders invest deliberately in AI and modern application development skills. They recognize resistance to change as a strategic risk and actively manage it. Process They adopt cloud-native approaches rather than repeating short-term “lift-and-shift” migrations that simply relocate technical debt. They use structured prioritization frameworks to embed modernization into business-as-usual operations. Technology They modernize to data platforms that support scalability, diverse data types, rapid feature development, and alignment with contemporary AI ecosystems. The ROI equation: Risk of action versus risk of inaction Modernization is often perceived as expensive and risky. However, IDC’s analysis suggests that the risk of inaction is frequently underestimated, and this study affirms that those who invest effectively, and continuously, into their application modernization program are experiencing both better ROI and higher digital revenues! Organizations that modernize report: Significant reductions in reporting time Double-digit productivity improvements Meaningful cost savings Hundreds of thousands of dollars in quantified cost reductions While full application rewrites and database modernization demand greater upfront investment than lift-and-shift migrations, they can deliver up to three times the long-term benefit. For CIOs and business leaders, the decision should not be framed as modernization cost versus status quo stability. It is modernization investment versus escalating AI failure risk. The Path forward: Legacy systems are not permanent Overcoming legacy is often perceived to be as significant a risk as taking on new technologies. IDC notes that many CIOs across the region focus on risk avoidance as a priority. In contrast, business leaders are seeking innovative solutions that drive new business opportunities, and so CIOs must balance their risk aversion concerns with the business demands. IDC’s research shows that legacy migrations that are under-funded pose significantly higher risk, and deliver lower returns, than those that are sufficiently funded from the outset. Organizations that proactively address technical debt, modernize systems, and align leadership and funding around AI-enabled outcomes will increasingly separate themselves from the pack. Those that delay will face structural disadvantages: Growing technical debt Escalating modernization costs Underperforming AI systems Slower digital revenue growth IDC’s research shows that the next wave of AI advantage in Asia/Pacific will not be determined solely by model sophistication. It will be determined by architectural foundations. Ultimately, without modernization, there can be no sustainable AI strategy.
Improved Multitenancy Support in Vector Search: Introducing Flat Indexes
The future of AI is personal. The more accustomed to AI tools users are, the more they want their experience of working with them to be personalized and agentic. Whether it is an AI assistant recalling your past conversations, a legal tool reviewing a specific company's contracts, or a personal knowledge base searching through your private documents, these applications all rely on one core capability: providing "memory" specific to a single user or business.
LoanOptions.ai Scales AI-driven Finance Broking With MongoDB Atlas
Finance brokerage processes are known for being clunky and complex. It’s traditionally been very paper-heavy and manually intensive, with opaque and confusing credit policies, and it often takes weeks for borrowers to get an answer on whether their loan is approved.
Introducing MongoDB Agent Skills and Plugins for Coding Agents
Software engineering is evolving into agentic engineering. According to the Stack Overflow Developer Survey 2025, 84% of respondents use or plan to use AI tools in their development, up from 76% the previous year. At this rate, the tooling needs to keep pace. Last year, we introduced the MongoDB MCP Server to give agents the connectivity they need to interact with MongoDB, helping them generate context-aware code. But connectivity was only the start. Agents are generalists by design, and they don't inherently know the best practices and design patterns that real-world production systems demand. Today, we're addressing this by introducing official MongoDB Agent Skills: structured instructions, best practices, and resources that agents can discover and apply to generate more reliable code across the full development lifecycle, from schema design and performance optimization to implementing advanced capabilities like AI retrieval. To bring this directly into the tools you use, we're also launching plugins for Claude Code, Cursor, Gemini CLI, and VS Code, combining the MongoDB MCP Server and Agent Skills in a single, ready-to-use package. Turning coding agents into MongoDB experts Coding agents are great at producing working code, but they still make common mistakes in production systems, often defaulting to relational thinking that doesn't translate well to MongoDB, such as: Over-normalizing schemas, ignoring MongoDB's document-oriented strengths. Underusing compound indexes, causing performance bottlenecks at scale. Misusing indexes and search indexes, overlooking the consistency trade-off for high-performance full-text search. Because these pitfalls mirror common human errors, they are naturally reflected in agent outputs. MongoDB Agent Skills address this by providing expert guidance to agents, like schema design heuristics, indexing strategies, query patterns, and operational safeguards, enabling agents to ship more reliable, more consistent code faster. Agent Skills were introduced by Anthropic as an open standard and have since been adopted by the leading AI development tools, including Claude Code, Cursor, Codex, and more. This initial release covers the full application development lifecycle on MongoDB, from connection management and schema design to guidance on implementing advanced capabilities. We will continue to update and expand our skills library based on user needs. Figure 1. MongoDB Agent Skills. Scaling agentic engineering with MongoDB As organizations embrace agentic software engineering, existing processes and workflows must be reimagined. The MongoDB MCP Server and MongoDB Agent Skills are built for this shift and work best together, giving builders and agents the tools to move fast without sacrificing guardrails or control. The MongoDB MCP Server serves as the connectivity layer for your MongoDB deployments. It manages authentication and defines exactly what agents can access and do. Combined with MongoDB’s native authorization, it ensures agents operate with only the permissions they need, while giving teams governance through configurable controls like disabling specific tools. Agent Skills ensure agents follow best practices from the start, reducing architectural risk, accelerating implementation, and raising the baseline quality of every agent-generated code. While some skills can be used independently, others work in conjunction with the MongoDB MCP Server for workflows that require it. To simplify setup, the MCP Server and skills are now packaged together as plugins and extensions for Claude Code, Cursor, Gemini CLI, and VS Code, bringing these capabilities directly into your preferred tools. Figure 2. MongoDB for Claude plugin in action. We also encourage you to build your own skills as your agentic workflows mature. Whether enforcing internal naming conventions, custom data modeling patterns, or team-specific workflows, skills give you a practical way to codify institutional knowledge and ensure every agent and every developer works from the same playbook. How to get started Whether you’re using Claude Code, Cursor, Gemini CLI, or other AI development tools, you can install the MongoDB MCP Server and Agent Skills in seconds. For example, in Claude Code, install the plugin that bundles both: Code Snippet /plugin marketplace add mongodb/agent-skills /plugin install mongodb@mongodb-plugins For Cursor, Gemini CLI, and VS Code extensions, refer to their respective documentation. You can also install the skills for most coding agents using the Vercel Skills CLI (requires Node.js): Code Snippet npx skills add mongodb/agent-skills If you prefer, you can manually clone the GitHub repository and copy the skills into the appropriate folder for your agent. Similarly, to install the MongoDB MCP Server, use the following command: Code Snippet npx mongodb-mcp-server@latest setup Agentic engineering is changing how teams work, and it is changing fast. Agents need the context and guidance to meet the standards of real-world production applications. With the official MongoDB Agent Skills and plugins, builders can move faster with confidence, and organizations can adopt coding agents knowing that MongoDB best practices are embedded directly into every workflow. Next Steps Ship faster, more reliable apps on MongoDB with Agent Skills. Install for Claude Code, Cursor, Gemini CLI and VS Code!
Zomato Cuts $11M in Support Costs With MongoDB-Powered AI Platform
With more than 25 million active monthly users—and hundreds of millions of food delivery orders annually—Indian-born Zomato is the world's second-largest food delivery company. At the heart of the business’s success is Zomato’s ability to seamlessly scale, manage complex data, and build innovative AI-powered applications at pace.
Observability and OpenTelemetry: Introducing MongoDB Atlas Log Integration
In high-stakes enterprise environments, outages do not wait for business hours, and neither do IT/Network Operators. A latency spike hits the dashboard, and metrics signal that the database is under pressure. The cause? Indeterminate. Meanwhile, the business impact is immediate: orders fail to process, customers can’t access accounts, transactions stall, and critical records become temporarily unavailable. Every minute of uncertainty translates into lost revenue, frustrated users, and escalating pressure. Teams often fall back on a familiar—yet time-consuming—ritual: logging into their data platform, exporting large log files, extracting compressed archives, and manually searching through thousands of lines of entries to identify the issue. What should be a quick diagnosis becomes a manual context-switching investigation. By the time the problematic query, configuration issue, or audit event is identified, users have already experienced the disruption—and the business has absorbed the cost. MongoDB believes the database should be the heartbeat of a digital business. So we’re introducing a new log integration that brings MongoDB Atlas system and audit logs directly into external observability and storage platforms. This enhancement helps bridge the gap between metrics and meaning when it matters most. Flexible log delivery for modern observability workflows Now database operators, DevOps pros, and IT Operations teams alike can send MongoDB system and audit logs—including mongod, mongos, and audit logs—directly to the tools they already rely on: Datadog, Splunk, Google Cloud Storage, Azure Blob Storage, or Amazon S3. Beyond native integrations, MongoDB supports sending logs via OpenTelemetry (OTel), the open-source standard for collecting and transmitting telemetry data. This enables customers to export MongoDB logs to any observability or logging backend that supports OTel. By using a vendor-neutral, standards-based protocol, MongoDB fits seamlessly into modern observability architectures. This eliminates lock-in and preserves flexibility as tooling strategies evolve. Enabling real-time clarity Modern enterprises generate rich system logs essential for debugging and compliance. However, when these logs are siloed, operational inefficiencies grow. Manual log access introduces friction, delays resolution, and creates a visibility gap between metrics and logs. MongoDB’s new log integration transforms that experience with: Accelerated troubleshooting: Send logs in near real-time to observability platforms like Datadog, Splunk, or OpenTelemetry-compatible backends, enabling teams to quickly identify issues and reduce manual operational steps that slow incident resolution. Unified telemetry: Correlate MongoDB logs with application traces and infrastructure metrics in existing observability platforms, helping teams quickly understand how database behavior impacts overall system performance. Simplified compliance: Automatically route audit logs to secure long-term storage such as Amazon S3, helping organizations meet regulatory and audit requirements without manual log management. Figure 1. Atlas Log Integration configuration options for delivering MongoDB logs to observability and storage platforms. image Real-world use cases How does this look in practice for modern application, operations, and engineering teams? Here are a few examples. table The criticality of observability As applications scale, the database becomes the most critical layer of an organization’s technology stack. Missing or siloed visibility leads to costly downtime and fragmented decision-making. This log integration is available for dedicated M10+ clusters. An external sink can be configured in minutes: Navigate to the Project Integrations page in the MongoDB Atlas UI. Select the intended destination: Datadog, Splunk, Google Cloud, Microsoft Azure, Amazon S3, or any OTel log endpoint. Enter the required credentials and select the desired logs to send: mongod, mongos, or audit. Note: Atlas Search logs are also currently available via private preview. Figure 2. MongoDB Atlas logs integrated into an OpenTelemetry observability pipeline. image One observability strategy, built to scale For teams that need fast, MongoDB-centric visibility, MongoDB Atlas continues to offer powerful native tools like Query Insights and the Query Profiler. These capabilities are designed to surface what is happening inside a user’s clusters with minimal friction. However, as organizations scale, database insights can not live in isolation. MongoDB Atlas’s log integration extends observability systematically to the data plane. This enables MongoDB logs to flow into the observability platforms teams already use across engineering, security, IT operations, and compliance. With native integrations and an OpenTelemetry-compatible endpoint, teams can route logs wherever they are needed. This enables rapid troubleshooting, stronger auditability, and confident scaling without blind spots.
Atlas Stream Processing Now Supports Apache Avro With Schema Registry
MongoDB Atlas Stream Processing now supports Apache Avro serialization when integrated with the Confluent Schema Registry, removing key barriers that have made migrating streaming workloads difficult. You no longer have to choose between the flexibility of MongoDB and the performance of binary serialization. Whether you’re building real-time fraud detection, monitoring IoT sensor grids, or synchronizing microservices, MongoDB Atlas Stream Processing provides the tools to do it with confidence and at scale.
Scaling with Confidence: Introducing Standardized Atlas Admin API Rate Limiting
Managing a fleet of database clusters at scale requires precision, automation, and—most importantly—predictability. Today, MongoDB is excited to announce that standardized rate limiting for the Atlas Admin API v2 is now generally available (GA).
MongoDB and DigitalOcean: Empowering both Developers and Enterprises
Today, MongoDB is thrilled to announce the expansion of our strategic partnership with DigitalOcean. Together, MongoDB and DigitalOcean are doubling down on our shared mission: to empower developers and digital-native enterprises alike with the simple operations and scalable, and now AI-forward, innovative tools they need to build world-class applications.
Inside MongoDB Dublin: The Heart of Our International Growth
Nestled between the Irish Sea and the Wicklow Mountains, MongoDB’s Dublin office brings together people from around the world. It’s a place where you can build a meaningful career, contribute to leading global products, and feel part of a close-knit community. Located in Ballsbridge just south of Dublin city center, the office is a short walk from the Lansdowne DART station and is well-served by multiple bus routes, making it easy to plug into everything the city has to offer.
Announcing the 2026 MongoDB PhD Fellowship Recipients!
At MongoDB, we believe in the transformative power of collaboration between academia and industry to drive innovation in database software and operational data management. Since its launch in 2024, the MongoDB PhD Fellowship Program has supported emerging research leaders pushing the frontier of computer science in areas such as AI/ML, distributed systems, cryptography, and database optimization.
Innovating with MongoDB | Customer Successes, February 2026
Who says that winter is when things slow down? MongoDB has had a busy start to the year, with a steady stream of announcements and product features—all against the backdrop of an industry moving at warp speed. It's been a lot, and it's been a blast! For example, the energy at January’s MongoDB.local San Francisco—where we announced capabilities to help teams ship production AI faster—was infectious. MongoDB isn’t just starting a new chapter in AI; we’re rewriting the book in real time. The next generation of AI companies isn't just looking for a temporary place to store data; they’re looking to build on a generational modern data platform. Indeed, the most innovative founders are moving away from rigid, legacy systems and embracing a single, fluid foundation that can grow with them. At MongoDB.local SF, our message was clear: Choose your data platform strategically in order to ship faster. From our new Voyage 4 models to the general availability of our Intelligent Assistant, we are obsessed with anticipating what developers need next. This assistant is particularly impactful because it embeds MongoDB-specific expertise directly into Compass and MongoDB Atlas, allowing developers to troubleshoot performance without the "context-switching" that traditionally slows them down. In this issue, I’m thrilled to spotlight four startups who are building the future on the right foundation. You’ll see how Modelence and Thesys are using our flexible document model to eliminate 'operational drag,' allowing them to iterate on AI-native workflows in real time. And then there’s Heidi and Emergent Labs, who both are proving that when you simplify your codebase with a unified platform, you can turn a plan into shipped code at record speeds. I’ve highlighted their journeys below so you can see exactly how these leaders are setting a new pace and changing their trajectory with MongoDB. Modelence Modelence aims to modernize backend infrastructure for the era of AI-assisted development. Traditional relational databases and manual systems create significant operational drag, as their rigid schemas and heavy migrations cannot keep pace with agent-native workflows. These legacy systems struggle with the high-velocity requirements of intelligent coding agents, which must iterate on data structures in real time without causing system downtime. To build a stable foundation for automation, Modelence integrated MongoDB Atlas as its core data layer. The platform utilizes the flexible document model to align with how intelligent systems think, allowing specifications and runtime events to coexist. This "fit" enables per-tenant isolation and managed credentials, ensuring automated changes remain safe and traceable without the tangle of relational joins. Standardizing on MongoDB Atlas helped Modelence raise $3 million dollars in its Seed round. The company now moves from planning to running features in minutes, achieving faster iteration loops and fewer regressions. Thesys Thesys aims to empower developers by making generative user interfaces—adaptive, real-time components—accessible to everyone. Previously, developers faced the friction of static chat bubbles and hardcoded dashboards that failed to visually represent complex AI outputs. These traditional interfaces forced teams to rebuild UI layers for every use case, which kills user engagement. To solve these orchestration challenges, Thesys integrated MongoDB Atlas as the operational backbone for its C1 API middleware. The platform utilizes the document model to manage complex entities within a single, high-performance data layer. By removing the friction of mapping unstructured LLM outputs to rigid schemas, engineering teams can now ship updates weekly. Through the MongoDB for Startups program, Thesys successfully accelerated its go-to-market timeline. By offloading operational management to MongoDB Atlas, Thesys now maintains the agility to evolve its data layer alongside emerging AI trends, ensuring its intelligent interfaces remain high-performing as they scale globally. Emergent Labs Emergent Labs sought to democratize software development through “vibe coding,” a platform where AI agents build applications from natural language prompts. The company’s initial use of PostgreSQL caused significant friction, as AI agents frequently failed during schema migrations when non-technical users iteratively changed their application requirements. By switching to MongoDB Atlas, Emergent Labs provided its agents with a flexible, document-based architecture that matches the JSON data they naturally produce. This eliminated the PostgreSQL migration loops, allowing agents to modify data structures on the fly and deploy isolated, production-ready databases in minutes. The transition has powered the creation of nearly 2 million applications across 180 countries in just four months. With MongoDB Atlas, the platform now supports complex builds of up to 300,000 lines of code, doubling deployment rates and allowing non-technical entrepreneurs to launch sophisticated tools without traditional engineering resources. Heidi Heidi aims to reclaim clinician time by automating administrative tasks. Previously, clinicians spent 40% of their shifts on paperwork, reducing time for patient care. To manage this at scale, Heidi initially used Amazon DocumentDB, but faced critical limitations including mandatory downtime for scaling, high latency, and a lack of native search functionalities essential for complex AI workloads. To eliminate these bottlenecks, Heidi migrated to MongoDB Atlas for its flexible schema and built-in AI capabilities. Integrating MongoDB Vector Search enables Heidi to perform RAG without "bolt-on" databases, streamlining vector and semantic search under a single API. This technical fit enables developers to unify diverse medical data while meeting stringent healthcare security and regulatory requirements. Since migrating, Heidi has supported 81 million consultations, returning 18 million hours to the frontline. By offloading management to MongoDB Atlas, Heidi ensures its platform remains high-performing while empowering practitioners to focus on their primary mission: providing compassionate patient care. Video Spotlight Before you go, watch TinyFish Co-founder and CEO, Sudheesh Nair, explain how “nano agents” are transforming web-based research. Learn how TinyFish extracts actionable intelligence from unstructured internet data using MongoDB and Voyage AI.
MongoDB Expands Access to AI and Data Skills in India with HCL GUVI and TASK Partnerships
Today, MongoDB for Academia announced that it is accelerating towards its goal of upskilling 500,000 Indian developers through strategic partnerships with two leading educational organizations: HCL GUVI and the government of Telangana's Academy for Skill and Knowledge (TASK). These new partnerships will make AI and data skills accessible to even more Indian students by offering courses in local languages and by expanding MongoDB’s geographic reach with the support of more than 100 academic institutions in Telangana.
Meet 5 Architects, Innovators, and Leaders Behind MongoDB’s Community
Developers, data architects, and innovators from around the world gathered in the fall of 2025 for MongoDB.local London, an educational conference with keynote speeches, technical sessions, product demos, and networking opportunities, all focused on data-driven application development. This group came together to swap stories, share lessons, and get a first look at what’s next for MongoDB—and the energy felt palpable and, frankly, contagious.
Stay Ahead of the Spike: Intelligent, Proactive Resizing with MongoDB Atlas Predictive Auto-Scaling
In the world of modern applications, success is often defined by growth. However, as applications become more popular and user bases expand, the demands they place on databases become increasingly volatile. We’ve all faced the nightly analytics job that outgrows server capacity, or the sudden marketing push that sends traffic soaring.
Purpose-Built User Roles Scale MongoDB’s Identity Access Management
As MongoDB Atlas adoption grows across large organizations, Atlas projects increasingly sit at the intersection of multiple teams: platform engineering, security, operations, site reliability engineering (SRE), and application teams. Each group requires access to Atlas to perform specific operational tasks, such as scaling clusters, creating indexes, managing backups, or reviewing logs. Empowering these teams is essential to completing these tasks. Concurrently, inheritance of unnecessary privileges must be avoided to reduce risk.
Optimizing Disaster Recovery: Introducing Enhanced Control for Cross-Region Snapshots
For modern enterprises, disaster recovery (DR) is not optional. As workloads scale and become geographically distributed, the ability to restore access and functionality after a disruptive event is critical for business continuity. However, robust DR strategies often come with a hefty price tag.
PLN Icon Plus Optimizes Energy Delivery for Millions of Indonesians
PLN Icon Plus, a subsidiary of Indonesia’s state-owned electricity company PT Perusahaan Listrik Negara (PLN), is at the forefront of Indonesia’s transition toward green, sustainable, and digitally-driven energy solutions.
Workspaces and New Tiers for Atlas Stream Processing
MongoDB Atlas Stream Processing remains one of the easiest ways to work with streaming data, simplifying near real-time data transformation and integration. This enables developers to use the power of the MongoDB aggregation framework to process data streams from sources like Apache Kafka that drive event-driven applications. To make stream processing even more accessible and cost-effective, we recently introduced workspaces and new processor tiers, providing clearer pricing, more granular control, and faster paths to production.
Redefine Airline Loyalty: Innovation for the Modern Traveler
Driven by shifts in traveler behavior across the globe, airline loyalty is undergoing a profound transformation. Travelers now expect better digital services from airlines. Retailers, streaming platforms, mobility apps, and financial services applications have raised expectations for what a personalized, easy, and meaningful experience should feel like. Those expectations are also carried over into the travel industry.
Heidi’s AI Scribe Scales to 81M Clinical Consultations
Clinicians spend up to 40% of their working hours on documentation tasks. Heidi, a rapidly growing Australian-based global AI startup, is on a mission to protect and extend the human touch in healthcare. In just 18 months, Heidi has returned more than 18 million hours to frontline clinicians by streamlining critical administrative tasks.
Unlock Historical Archive Value with Multimodal AI
Digitization was supposed to solve the archive problem. Scan the pages, run Optical Character Recognition (OCR), enable keyword search—done. Yet decades and millions of dollars later, most newspaper archives remain essentially unusable for serious research.
MongoDB.local San Francisco 2026: Ship Production AI, Faster
Today at MongoDB.local San Francisco, we announced capabilities that collapse the distance between AI prototype and production. Building AI applications means solving real problems: keeping conversational context clean and queryable, retrieving the right information from thousands of past interactions, connecting AI agents to your data without custom plumbing. These aren't theoretical challenges, they're the friction points that slow teams down every day. The AI era demands more from your data platform. MongoDB gives you everything you need to build quickly. Voyage AI: the best gets better Embedding models can make or break AI search experiences. We're proud that voyage-3-large has been the world's top-performing embedding model on Hugging Face's RTEB benchmark since its inception. But we didn’t rest on our laurels. There’s a new model at the top of the charts. Today, we're pleased to announce that the Voyage 4 model family is now generally available. The best just got better. The voyage-4 series models operate in a shared embedding space, allowing for cross-model compatibility and unprecedented flexibility to optimize for accuracy, speed, or cost. This release also includes voyage-4-nano, our first open-weight model available on HuggingFace, perfect for local development. Additionally, we're launching the new voyage-multimodal-3.5 model, which has been specifically trained to support video content alongside text and images. For developers building multimodal AI applications, this represents a significant leap forward in handling diverse content types within a single retrieval system. Best of all, upgrading is remarkably straightforward—you can simply change the model parameter to "voyage-multimodal-3.5" in your API call, instantly unlocking video capabilities without needing to refactor your existing codebase or change your application architecture. Finally, we’re announcing the public preview of the Embedding and Reranking API on MongoDB Atlas, providing API support for Voyage AI models. While enabling standalone usage of the models with any technology stack, the API benefits from the robust security and scalability standards of MongoDB. By bringing critical components into a single control plane and interface, it eliminates the need to manage separate vendors and significantly reduces operational overhead. Automated Embedding, convenience built into MongoDB Community Persistence matters. An AI with amnesia isn’t helpful; users need systems to remember context from minutes, hours, and weeks ago. Every interaction is a goldmine of preferences, patterns, and behavior that should make the next interaction smarter. But storing conversation history in a database isn't enough. Simple storage solves nothing if you can't retrieve the right information at the right time. The real challenge is intelligent retrieval: finding relevant context across thousands of past interactions, filtered by metadata and user attributes, without your system buckling under production load. This is where vector search becomes critical—enabling semantic search that captures meaning, not just keywords, while operating on your real-time operational data. And this is where MongoDB's approach eliminates a major pain point: the need to sync data between separate systems for vectors and application data. Until now, generating and storing these vectors required overhead—development time, infrastructure management, and cognitive load. No longer. We're introducing Automated Embedding for MongoDB Community Edition in public preview. MongoDB Community Edition now handles the complexity of managing embedding models automatically, giving developers high-accuracy semantic search in the database while maintaining flexibility to use any LLM provider or orchestration framework. Automated Embedding offers one-click automatic embedding directly inside MongoDB, which eliminates the need to sync data and manage external models. It’s an easy way to get high quality embedding natively. Best-in-class retrieval shouldn't require infrastructure work—Automated Embedding in MongoDB Vector Search delivers on that promise. Automated Embedding in MongoDB Vector Search is available now in Community Edition, with Atlas access coming soon. Precise text filtering for advanced search use cases Today, we announced the launch of Lexical Prefilters for Vector Search. This addresses a long-standing request from developers building semantic search interfaces who need advanced text filtering alongside vector operations. The new syntax enables powerful text filtering capabilities—fuzzy matching, phrase search, wildcards, and geospatial filtering—as prefilters for vector search. This leverages full text analysis capabilities while maintaining the semantic power of vector search. We've introduced a new vector data type in $search index definitions and a vectorSearch operator within the $search aggregation stage to make this work seamlessly. This replaces the knnBeta operator with a cleaner, more powerful approach. For teams already using lexical and vector search together, this provides a simplified migration path with significantly expanded capabilities. Intelligent assistance wherever you work MongoDB’s intelligent assistant is generally available in MongoDB Compass. The assistant provides in-app guidance for debugging connection errors, optimizing query performance, and learning best practices, all without leaving your development environment. You can even query your database using natural language through read-only database tools that require your approval before execution, allowing for deeper contextual awareness of your data. The assistant was built to address real friction: developers switching between multiple tools and documentation tabs, waiting for support responses, or getting generic advice from general-purpose AI chatbots that don't understand MongoDB-specific contexts. Now, tailored guidance is available instantly, right where you're working. The modernized Atlas Data Explorer interface brings the Compass experience directly into the Atlas web UI, addressing a critical gap for teams with security policies that restrict desktop application usage. Users can now perform sophisticated query development, optimization, bulk operations, and complex aggregations—all with AI assistance—across all MongoDB Atlas clusters in a unified web interface. Whether you're troubleshooting a connection issue, optimizing a slow query, or learning how to structure an aggregation pipeline, the intelligent assistant delivers MongoDB-specific expertise without context switching. Try the intelligent assistant in the modernized Atlas Data Explorer now. The engine behind MongoDB Search and Vector Search is now available under SSPL Finally, mongot, the engine powering MongoDB Search and Vector Search, is now publicly available under SSPL. While still in preview, after years of development and investment, we're making the source code of this core technology available to the community, expanding our unified search architecture beyond Atlas to every MongoDB deployment. mongot runs separately from mongod, MongoDB's core database process, and is the foundation that makes powerful search native to MongoDB. Releasing mongot under SSPL means full transparency for security audits and debugging complex edge cases. Developers can dive into mongot's architecture, understand how search and vector operations work under the hood, and help shape the future of search at MongoDB. A modern data platform that evolves with your needs These announcements reflect our commitment to anticipating what developers need as AI development matures. Vector search, time series, stream processing, queryable encryption, Atlas itself—we've consistently delivered on emerging requirements. "If you're building an early-stage company that is going to scale very rapidly, you need a database solution that isn't going to break under the load of a huge volume of users," said Eno Reyes, Co-founder and CTO of Factory. "You need a fast-moving team with a reliable solution, and there really is one option in this space—and it's MongoDB." Rabi Shanker Guha, CEO of Thesys, put it this way: “MongoDB helps us move fast in an ever-changing world. The best database is the one you don’t have to think about—it just works exactly where and how you need it. That’s MongoDB for us.” Ship faster, scale confidently Each capability we announced today addresses real friction in the AI development workflow and in the developer experience. We're not asking developers to choose between structured data and vectors, between performance and flexibility, or between rapid iteration and production readiness. The promise is straightforward: ship faster, scale confidently, and focus on what makes your AI application unique—not on managing database infrastructure. In an ecosystem crowded with point solutions and retrofitted legacy systems, MongoDB is a modern data platform built for the long haul.
Now Source Available: The Engine Powering MongoDB Search
Last year, we announced the public preview of search and vector search capabilities for use with MongoDB Community and MongoDB Enterprise Server. Today, we are releasing the engine that powers those capabilities, mongot, into public preview under the Server Side Public License (SSPL).
Semantic Power, Lexical Precision: Advanced Filtering for Vector Search
We are excited to announce the launch of Lexical Prefilters for MongoDB Vector Search, providing developers with a way to use advanced text and geo analysis filters alongside vector search. This new capability simplifies the challenge of building advanced applications by helping developers build richer and more sophisticated search experiences through the combination of semantic understanding and precise text filtering.
Introducing the Embedding and Reranking API on MongoDB Atlas
The next frontier for AI isn’t simply more capable models. It’s better context. As LLMs become embedded in every process and product, their accuracy and trust depend on grounding generation in the right data. Search and retrieval are foundational to this shift, powering everything from AI chatbots and assistants to fully autonomous agents. But building AI retrieval today means stitching together databases, vector search, and retrieval model providers—each introducing operational complexity.
Control MongoDB Atlas Cluster Configurations With Resource Policies
Editor's note: This post is the fifth in a series exploring how MongoDB Atlas Resource Policies help you strengthen database security and enforce consistent guardrails across your organization. Read the first post on IP access list management, the second on defense-in-depth strategies, the third on blocking wildcard IP access, and the fourth on cloud provider and region restrictions.
Teach & Learn: Dr. Mahesh Chaudhari, University of San Francisco
This is the fourth in our Teach & Learn blog series, which interviews students and educators worldwide who are using MongoDB to enhance their classrooms. These stories highlight how MongoDB’s platform and resources are revolutionizing education and preparing tech professionals.
MongoDB Server Security Update, December 2025
At MongoDB, protecting our customers’ data is our highest priority. On December 12, 2025, the MongoDB Security Engineering team identified a security vulnerability, described in CVE-2025-14847, which impacts MongoDB Server. Within the security community, this vulnerability is informally referred to as “Mongobleed.” This blog post outlines the situation, our immediate response, and the key insights we’ve gathered so far. Security is an ongoing responsibility in modern software development for both software producers and consumers, and maintaining trust depends on how issues are identified, addressed, and communicated.
That’s a Wrap: MongoDB’s 2025 in Review & 2026 Predictions
It’s nearly the end of the year—again! That means it’s time for an end-of-year blog post that expresses disbelief at the passage of time. Which, as the saying goes, flies when you’re having fun. And definitely when you’re as busy as MongoDB was in 2025. It was a big year for the company—and more importantly, for the tens of thousands of customers and millions of developers who rely on MongoDB’s modern data platform for their most mission-critical workloads. At MongoDB, everything we do starts with our obsession with customers and their needs, and if there’s a theme to MongoDB’s 2025, it was (and will continue to be) enabling customer innovation and helping them succeed in the AI era. So here are a few highlights of how MongoDB acted on behalf of customers in 2025. From the acquisition of Voyage AI to customer success across industries, a lot happened in 2025. Let’s go!* *Read to the end for 2026 thoughts. 2025: The (MongoDB) year that was Voyage AI, modernization, and search In February, MongoDB announced the acquisition of Voyage AI, a pioneer in embedding and reranking models, to enhance the accuracy of AI applications. Integrating Voyage AI's advanced retrieval technology with MongoDB’s modern, AI-ready data platform addresses a critical challenge: LLM model hallucinations caused by a lack of context. By improving retrieval accuracy for specialized domains like finance and law, the integration enables businesses to deploy AI for mission-critical use cases. To learn more, see the MongoDB Voyage AI page. Then, in September, we launched MongoDB AMP, an AI-powered Application Modernization Platform. AMP is designed to accelerate the transformation of legacy applications through a combination of AI-powered tooling, a proven delivery framework, and expert guidance (tools, techniques, and talent) to help enterprises reduce technical debt and modernize 2-3 times faster. Want more? Sure you do! Check out this short video. MongoDB also announced the addition of search and vector search capabilities to MongoDB Community Edition and MongoDB Enterprise Server. This allows developers to build and test AI-native applications, including those using retrieval-augmented generation (RAG), in local or on-premises environments. Previously exclusive to MongoDB Atlas, these features enable secure, hybrid deployments where sensitive data can remain on-premises while still leveraging advanced search tools. Here’s a (slightly less short) video about search and vector search on Enterprise Server. Growing and scaling with MongoDB As noted, everything we do at MongoDB starts with our obsession with customers. 2025 was another banner year for customer success and innovation—we were inspired by what organizations of every shape and size, across industries and geographies, built with MongoDB in 2025. Here are just two of the many stories our customers shared in 2025; much more can be found in my colleague Katie Palmer’s blog series, Innovating with MongoDB. Factory By combining the Atlas modern data platform with Voyage AI’s high-performance embeddings, the AI-native startup Factory—which uses AI agents called Droids to accelerate software development lifecycles for organizations—consolidated its fragmented tech stack. This enabled superior code retrieval, simplified operations, and provided the scalability needed to process billions of tokens daily. McKesson McKesson, a global pharmaceutical distributor, replaced its monolithic legacy infrastructure with MongoDB Atlas to meet strict drug tracing mandates. By adopting our modern cloud data platform, McKesson scaled its operations 300x, managing tracking data for 1.2 billion containers annually without latency, and ensuring compliance and patient safety while reducing developer complexity. For more, check out the video of McKesson at MongoDB.local NYC from September. From niche NoSQL to enterprise powerhouse As senior MongoDB engineer and Technical Fellow Ashish Kumar put it earlier this year, “through a sustained and deliberate engineering effort,” MongoDB has gone from a (seemingly) niche NoSQL solution to a trusted enterprise standard, and now delivers “the high availability, tunable consistency, ACID transactions, and robust security that enterprises demand.” A new era of leadership The face of MongoDB has also changed—our CFO, Mike Berry, joined the company in April, and Dev Ittycheria stepped down as CEO in November, after more than 11 years leading the company (including its 2017 IPO). In a LinkedIn post about his role, new MongoDB CEO CJ Desai noted that the company is “at the forefront of a new data revolution, unlocking the next wave of productivity and intelligence.” “Having spent my career building and scaling technology platforms, I’ve always been drawn to companies defined by clarity of vision, relentless organic innovation, and a customer-first culture. MongoDB exemplifies all three,” said Desai. We couldn’t agree more. Onward! Reading the 2026 tea leaves So what might 2026 bring (for MongoDB and tech at large)? Here are a handful of our leaders’ predictions: “As much as people want to talk about Artificial General Intelligence (AGI), we’re still in the phase where most AI use cases automate redundant tasks but benefit from human-in-the-loop checks. Organizations that use AI to complete work that historically is a drain on human resources—but then uses people to carefully verify what AI builds, apply governance frameworks, and maintain accountability across the data lifecycle—will be more successful.” —Pete Johnson, Field CTO, AI, MongoDB “After years of inflated expectations and unsustainable spending, the AI industry is trapped in a bubble where companies reflexively attempt to deploy LLMs at every problem, driving up costs with minimal to no return. Businesses that break free from this spending cycle are the ones that understand the need to ground LLM responses in factual data and learn from prior mistakes. We believe the best way to do this will be with highly accurate embedding models and rerankers for reliable data retrieval.” —Frank Liu, Staff Product Manager, MongoDB "In 2026, cloud independence will evolve from strategic preference to existential imperative across enterprises of every scale. The outages and disruptions of recent years have exposed a fundamental truth: in an always-on digital economy—where commerce, mobility, governance, and even public safety depend on uninterrupted access to cloud services—single-provider reliance is no longer a calculated risk, but a systemic vulnerability. Compounding this is the inexorable rise of data sovereignty. Regulatory regimes worldwide now demand precise jurisdictional control over data residency, rendering rigid cloud commitments incompatible with compliance at global scale. The defining competitive advantage will belong to organizations that transcend fragile prevention theater and engineer true infrastructural resilience: architectures inherently portable, data frictionlessly mobile, and operations autonomously sustained across heterogeneous clouds through AI-orchestrated redundancy. In short, the winners will not merely mitigate downtime—they will design systems that render the concept obsolete." —Ben Cefalo, SVP, Head of Core Products, MongoDB Happy holidays and happy New Year, everyone!
Modernizing Capital Markets Data Foundation with MongoDB
Capital markets run on massive amounts of data that is complex and mission-critical. Every day, exchanges, clearing houses, and broker-dealers handle millions of messages, trades, and risk events across front, middle, and back-office systems. But legacy architectures built on rigid, siloed relational databases are reaching their limits, unable to keep pace with the demands of real-time analytics, horizontal scalability, and AI-driven market intelligence.
Innovating with MongoDB | Customer Successes, December 2025
Hello, hello, (almost) happy holidays! As we close out the year and look ahead to 2026, I've noticed a common theme in the conversations I’ve had with customers lately. Both enterprises and fast-growing startups are actively transitioning away from legacy relational databases, including PostgreSQL, to meet the rapidly changing requirements of today's fast-paced, AI-driven world.
Enforce Data Sovereignty With MongoDB Atlas Resource Policies
Editor’s note: This post is the fourth in a five-part series exploring how MongoDB Atlas Resource Policies help you strengthen database security and enforce consistent guardrails across your organization. Read the first post on IP access list management, the second on defense in depth strategies, and the third on blocking the wildcard IP address.
Stop a Dangerous Database Security Mistake: Wildcard IPs
Editor’s note: This post is the third in a five-part series exploring how MongoDB Atlas Resource Policies help you strengthen database security and enforce consistent guardrails across your organization. Read the first post on IP access list management here and the second on defense in depth strategies here. The final post in this series will cover enforcing cloud hyperscaler and region restrictions across your organization.
Kindred Tech uses AI and MongoDB to Fight Child Exploitation in India
Faced with a steep increase in online child exploitation in India, law enforcement agencies are turning to advanced AI-driven tools to accelerate investigations and deliver justice. According to the National Centre for Missing and Exploited Children (NCMEC) agencies in India received 2.2 million cybertips related to abuse in 2024.
Layer MongoDB Atlas Resource Policies for Defense-in-Depth
Editor’s note: This post is the second in a five-part series exploring how MongoDB Atlas Resource Policies help you strengthen database security and enforce consistent guardrails across your organization. Read the first post on IP access list management here. Future posts will cover topics like blocking wildcard IP access and restricting access by cloud provider or region.
What's New in the MongoDB MCP Server: Winter 2026 Edition
The MongoDB MCP server continues to evolve rapidly as the MCP ecosystem matures and developer needs accelerate. We're keeping pace in this fast-moving space, continuously delivering new capabilities that expand what's possible. This momentum reflects both the speed of change of AI tooling and our commitment to meeting developers where they are. Below are some of the most impactful features from recent months, with details on what each enables.
Thesys Builds the Future of Generative UI on MongoDB Atlas
As generative AI is reshaping the entire user experience of how software is built and used, developers are constantly seeking new types of infrastructure platforms—ones that will make it seamless to build, manage, and even scale intelligent applications.
Secure MongoDB Atlas With Automated IP Access List Policies
Editor’s note: This post is the first in a five-part series exploring how MongoDB Atlas Resource Policies help you strengthen database security and enforce consistent guardrails across your organization. Future posts will cover topics like defense-in-depth, blocking wildcard IP access, and restricting access by cloud provider or region.
Secure Atlas Metrics with AWS PrivateLink for Prometheus
MongoDB has expanded its observability capabilities with a new enhancement to the MongoDB Atlas Prometheus integration: users can now configure their Prometheus collectors to scrape metrics from Atlas dedicated clusters using AWS PrivateLink.
Enterprise-Level, Scalable AI with Morphik and MongoDB
As AI continues to revolutionize how large enterprises operate, the most crucial startups are those capable of turning massive amounts of unstructured information into actionable intelligence. Morphik, one of the fastest-growing AI knowledge platforms for enterprises, uses MongoDB to deliver secure, high-performance, multitenant systems that power real-world automation at scale.
Building Next-gen AI agents: The MongoDB Atlas-Microsoft Foundry Integration
Generative AI is rapidly evolving from experimenting with models to relying on intelligent, autonomous multi-agent workflows that can reason, act, and adapt in real time. Together, Microsoft and MongoDB are defining the future of AI by providing companies everywhere a robust, secure, scalable foundation for building innovative, next-generation AI agents.
Microsoft Ignite 2025: Deepening the MongoDB Alliance with Microsoft
At Microsoft Ignite 2025, MongoDB is celebrating a strong and growing partnership with Microsoft. We’re also introducing updates that further integrate MongoDB Atlas with key Microsoft and Azure services across AI development, security, and governance.
Automated, Secure, and Scalable: Reference Implementation for Atlas on Azure
Today’s cloud-driven world is characterized by the requirement to scale—and to do so massively and faster than ever. But standing up secure and compliant environments on the cloud is complex and requires huge efforts, as teams have to figure out networking, policies, identity, and governance requirements across numerous projects.
Simplifying Enterprise Security Management: MongoDB Atlas Logs in Microsoft Sentinel
Security teams face increasing pressure to maintain visibility and control across complex, hybrid environments. With data spread across multiple systems, detecting threats, correlating incidents, and enforcing governance can become fragmented and time-consuming—especially as organizations accelerate their cloud adoption and AI transformations.
Introducing the MongoDB Trust Portal: Security and Compliance Documentation
We’re happy to share that MongoDB has launched a new Customer Trust Portal, which gives customers faster, easier access to critical security and compliance documentation for MongoDB Atlas. This new self-service platform enables users to review certifications, audit reports, and other trust artifacts on demand—all without having to wait for requests to be fulfilled. However, we are always standing by to assist you if and when you need help with anything at all.
Introducing the Preview Stability Level for MongoDB Atlas Admin APIs
We are excited to announce the release of the Preview stability level for the MongoDB Atlas Admin public APIs. Developers can now get early access to upcoming Atlas features, experiment with them before general availability, and help share their evolution through feedback.
Introducing the MongoDB Extension for Hibernate ORM in Public Preview
We are excited to announce that the MongoDB Extension for Hibernate, an object-relational mapping (ORM) framework for Java, is now available in public preview. This extension provides Java developers with the freedom and flexibility to build modern applications using MongoDB’s document model and Hibernate’s user-friendly features, including Java Persistence API (JPA) annotations, Hibernate Query Language (HQL) support, Criteria Queries, and caching.
Visualize and Craft Your Data Model Using MongoDB Tools
MongoDB is excited to announce the release of the new data modeling experience in MongoDB Compass, the GUI for MongoDB. The new experience offers a unified workspace for developers to visualize, refactor, and collaborate with other teams to build optimal data models for their applications.
MongoDB Announces Leadership Transition
Dev Ittycheria, President and Chief Executive Officer, shared the following message with MongoDB employees this morning. This is the hardest email I have ever had to write to all of you. If you have not seen the announcement, I have decided to retire as CEO. Effective November 10, 2025, Chirantan “CJ” Desai will become the new CEO of MongoDB. This was not an easy decision for me. The process to get to this point has been deeply emotional, as I care profoundly about MongoDB and the people who have made the company what it is today. This news may come as a surprise, and for some, perhaps even a shock. That’s natural. Leadership transitions can evoke a range of reactions. I want to share why this is happening, and why it’s the right thing for MongoDB. Every personnel change, including the most senior leadership changes, involves two key decisions: first, recognizing that it is the right time for change, and second, selecting the best person to replace the person leaving. This email is intended to explain both decisions. Earlier this year, as part of our regular succession planning process, the Board and I discussed my long-term commitment. They asked if I would continue as CEO for another five years. After many conversations with my family and the Board, I realized I could not make that commitment. Some CEOs see their title as their identity. I do not. My core responsibility is to serve in the company's best interests. The company is primed for a new leader. One with a fresh perspective, grounded in experience and skills needed to guide MongoDB through its next evolution as a company, what we call MongoDB 3.0. Consequently, I informed the Board that I would commit to two more years to help find a successor. That began the search process for a suitable successor. To our surprise and delight, what we thought would easily take 12 to 24 months happened much faster than anyone expected. After engaging with multiple qualified candidates, we found the right successor in CJ. CJ is uniquely qualified for this role. CJ brings the rare growth-at-scale experience that will help continue to build MongoDB into an iconic technology company. At ServiceNow, he was the only executive to work directly with three of its highly regarded public company CEOs and played a pivotal role in organically scaling the company from just over $1 billion to more than $10 billion in revenue. Only a handful of independent software companies have ever reached that milestone. CJ helped transform ServiceNow from a product company to a platform company, scaled engineering, drove go-to-market excellence, and engaged deeply with investors. More recently, as President of Product and Engineering at Cloudflare, he helped fuel strong growth and stock performance. CJ also possesses the personal qualities needed to succeed as CEO. He is humble, eager to learn, and wants to draw on the perspectives of the people at MongoDB and other stakeholders to inform his thinking. This blend of experience, judgment, and character gives me full confidence that he is well-equipped to lead MongoDB through its next phase of growth. I often think of MongoDB’s journey as a long and extraordinary expedition. For the past eleven years, I have had the privilege of serving as its guide, helping chart the course, rally the team, and climb together through both calm and challenging terrain. Along the way, we have reached remarkable summits and proven what is possible through relentless innovation, persistence, and teamwork. Now it is time for a new guide to lead the next stage of the ascent and take MongoDB to even greater heights. CJ is the right leader to take MongoDB to the next summit. MongoDB is on a strong footing, with a clear strategy, an exceptional leadership team, a product platform that is more relevant than ever, and a business that is executing well. The rise of AI and the explosion of data-intensive applications play directly to MongoDB’s strengths. Our technology sits at the center of how modern applications are built and how organizations will harness data to power intelligent, adaptive systems. I am confident MongoDB is perfectly positioned to capture this next wave of innovation. As for me, I am not running away from MongoDB or leaving to join another company as CEO. I will remain on the Board and work closely with CJ to ensure a seamless transition. Over the years, this role has demanded an enormous amount of focus and energy; as a result, there are many things I’ve missed doing along the way. I’m looking forward to being more present for those moments — from simple time with my family to experiences and travel we’ve long put off. I plan to hold on to my MongoDB stock, as I firmly believe in the people and the opportunity, knowing that MongoDB’s best days are ahead of it. Yes, change can be unsettling. I’m sure you will have many questions about this change, such as why now, why CJ is the best person to lead the company, and what this means for you. We will hold an all-hands meeting tomorrow at 10:30AM ET to discuss this transition, introduce CJ and take your questions. That being said, I want to emphasize that the right change at the right time is how great companies get stronger. Just as a championship team refreshes its roster to stay competitive, MongoDB is bringing in new leadership, including other recent C-suite leaders who came before CJ, to drive our next phase of growth. This is not an ending; it’s the founding of a new moment. I am incredibly proud of what we have built together and genuinely excited about what lies ahead with CJ leading us forward. I also want to thank each of you for making this journey so meaningful. Words cannot fully capture my gratitude for your passion, creativity, and belief in building something truly special. I have often said that I want MongoDB to be an inflection point in people’s careers, a place where they can grow, take risks, and do the best work of their lives. I can say without hesitation that it has been exactly that for me. The skills I have developed, the experiences I have gained, and the relationships I have formed here have shaped me more than any other chapter in my professional life. I will carry them with me always, and will continue to cheer for and support MongoDB every step of the way. --Dev
ApsaraDB for MongoDB Powers iQIYI’s Loyalty Points System
In the rapidly evolving internet entertainment industry, iQIYI, prioritizes user needs and drives innovation to create an integrated “long-form + short-form” content ecosystem. This ecosystem spans long-form dramas, micro-dramas, micro-variety shows, animations, films, games, novels, IP derivatives, and offline entertainment—pioneering diversified business models for video platforms.
MongoDB Partners with DataCamp on New “Intro to MongoDB in Python” Course
MongoDB is thrilled to announce the launch of the new course, “Introduction to MongoDB in Python,” developed in collaboration between MongoDB, the world's leading modern database, and DataCamp, the premier platform for data and AI learning. With over 17 million learners worldwide, DataCamp empowers individuals and organizations to lead in an AI-powered future through expertly curated, interactive learning experiences.
Founders are the Future: Announcing the Expansion of MongoDB for Startups
Today, I’m pleased to announce the expansion of MongoDB for Startups. With MongoDB for Startups, we offer founders the critical technical and professional support they need to get up and running quickly with a future-proofed architecture that’s designed to scale as they grow.
From Local to Global: Scalable Edge Apps with RxDB + MongoDB
Modern organizations operate in increasingly complex environments. Teams are often distributed across cities, countries, or even continents, and many work in situations where connectivity is intermittent or completely unavailable. Construction crews in remote locations, healthcare workers in rural clinics, field engineers on offshore sites, and logistics operators managing warehouses all rely on digital tools to capture, share, and analyze data. Any interruption in access or performance can create inefficiencies, data inconsistencies, and even operational risks.
How Governments Can Innovate Securely with Queryable Encryption
Governments globally are under growing pressure to digitise citizen-driven services, while ensuring high levels of data security and privacy. The trend has been supercharged in APAC by the opportunity and concerns associated with implementing AI to improve services.
Announcing the MongoDB Plugin for Firebase Genkit
We’re thrilled to introduce the MongoDB Plugin for Genkit, designed to accelerate your AI-powered applications with advanced search and database tooling—all within the Genkit ecosystem. Whether you're building chatbots, intelligent assistants, or recommendation engines, this plugin brings together MongoDB’s cutting-edge search capabilities and Genkit’s AI workflows, enabling seamless vector, full-text, and hybrid search with zero hassle.
The Future of Next-Generation Applications is Multicloud
When I brief executive and IT teams, my opening slide isn’t about models, it’s about data. Ninety-two percent of organizations report an AI strategy, according to IDC's Future Enterprise Resiliency & Spending Survey (June 2025; n=885). Nearly all are embedding generative AI across their operations, and only 1.7% are not yet adopting AI agents (IDC’s Future Enterprise Resiliency & Spending Survey, April 2025; n=893). The question is no longer whether AI will reshape applications, but how data architecture must evolve so pilots become revenue-driving, risk-reducing, customer-enhancing systems.
Analyze Query Shapes With MongoDB and Datadog
In July 2025, MongoDB introduced Query Shape Insights for MongoDB Atlas. This feature provides customers with powerful tools to understand query performance trends at a granular level. Almost immediately upon launch, enterprise customers asked an important question: “Can we view these insights directly in Datadog, where we already monitor our applications?”
Spring Session MongoDB Moves to a New Open Source Home
We're excited to announce a new chapter in our partnership with the Spring community: the Spring Session MongoDB integration will become a dedicated open source project directly maintained by MongoDB under its existing Apache 2.0 license.
Cars24 Improves Search For 300 Million Users With MongoDB Atlas
The Indian multinational online car marketplace Cars24 serves 300 million users globally. The company offers services that span sales, insurance, maintenance, financing, and more, reshaping the entire car ownership journey. Speaking at MongoDB .local Bengaluru in July 2025 , Pradeep Sharma, Head of Technology at Cars24, shared how MongoDB has been a key driver of Car24’s digital transformation journey. Specifically, he highlighted two recent use cases that show how MongoDB Atlas has helped Cars24 scale, improve its search capabilities, and reduce its architectural complexity. Matching the growing scale with simplified and expanded search Cars24 has operations in multiple countries, and a diverse customer base. Over the years, the company has used customer data, behavior analytics, and operational workflows to build, evolving from being a platform for buying and selling cars, to an end-to-end ecosystem, supported by a hub of interconnected systems. At the start of its journey, Cars24 relied on legacy databases for managing and searching data, such as Postgres. Their relational database set-up would store information, synchronize the data to a separate “bolt-on” search engine (such as Elasticsearch), manually indexing it, and then querying the index. While initially effective for a small application ecosystem, these processes became bottlenecked as the organization’s services grew. Multiple engineering teams piped data into a single search index, which often resulted in synchronization challenges and overwhelming administrative overhead. Cars24 faced three core limitations with this setup: Lower developer productivity: Exponential effort was spent maintaining pipelines and synchronizing procedures. Developers had little bandwidth for building business features or innovation. Architectural complexity: Ensuring data sync consistency required multiple pipelines and race logic. This led to inefficiencies in real-time dashboard updates for agents. Operational overhead: Maintaining separate systems for database and search—alongside provisioning, patching, scaling, and monitoring—strained resources. Seeking an integrated approach, Cars24 embraced MongoDB Atlas, hosted on Google Cloud . MongoDB Atlas would serve as a single, consistent, modern database and embedded search solution, powered by Apache Lucene. MongoDB Atlas Search also enabled Cars24 to run queries directly in the database. This eliminated the need to synchronise data between systems while delivering real-time results. This unified approach allowed the company’s developers to transition from managing complex synchronization mechanisms to building applications. Furthermore, the reduced administrative overhead enabled Cars24 to consolidate the team’s efforts, and to streamline query execution across the ecosystem. Thanks to MongoDB Atlas and MongoDB Atlas Search, Cars24 was able to: Avoid "synchronization tax”: Switching to MongoDB Atlas eliminated the need for data synchronization and the additional tooling this mandated. Real-time searches can be performed from a single interface and workflow. Deliver new search features faster: By using a single, unified API across database and search operations, new features can be delivered rapidly. Work with a fully managed platform: With MongoDB Atlas, Cars24’s engineers can focus more on application development and building products, rather than thinking about managing indexes, syncing, and more. Following this successful migration, Cars24 decided to also use MongoDB Atlas to replace one of its legacy databases, ArangoDB. The switch to MongoDB Atlas eliminated major roadblocks for other critical search capabilities. From ArangoDB to MongoDB: Streamlined operations and 50% cost savings As Cars24 scaled new services globally, it encountered limitations with its geospatial search solution, which was based on ArangoDB. This included performance bottlenecks, weak transactions as it was difficult to guarantee consistent data operations, and a limited ecosystem which meant that scaling developer onboarding and troubleshooting became increasingly onerous. Moving to MongoDB Atlas enabled Cars24 to transition its geospatial services, consolidating its data storage and search capabilities under a single, versatile platform. “We now have a highly available architecture, and an amazing team at MongoDB that has our back,” said Sharma. MongoDB offered a proven architecture for high availability, scalability, and real-world production readiness: Enhanced scalability: MongoDB’s ability to scale massive workloads supports Cars24’s growing global presence. Reliable transactions: MongoDB provides robust multi-document ACID transactions across shards, meeting mission-critical needs. Streamlined operations: MongoDB offers a single platform that is not limited to a database only. By consolidating its geospatial search workload under MongoDB, Cars24 has reduced maintenance and operational overhead. Not only did Cars24 cut costs in half by moving to MongoDB, but the widespread market adoption of MongoDB Atlas also means that Cars24 can continue to rapidly onboard developers familiar with MongoDB, a recruiting priority for Cars24’s growing development team. “To give you an idea, one of our business units had a developer team of less than 10 about a year ago. Now they are a triple-digit team,” said Sharma. “If we are going to keep introducing new developers, for a product coming up or scaling up, it becomes very important to focus on the community skills and support provided by our technology partner.” “Now that we have moved from ArangoDB to MongoDB Atlas, our developers are the happiest,” he added. Cars24 is now looking to consolidate even more of its application and data workflows under MongoDB Atlas. With the growing number of developers joining Cars24’s engineering teams, plans are to utilize MongoDB Atlas further to enhance productivity, scalability, and data-driven insights. Visit the MongoDB Atlas Learning Hub to learn more about Atlas. To learn more about MongoDB Atlas Search, visit our product page .
Innovating with MongoDB | Customer Successes, October 2025
It’s officially fall! The start of every new season is a perfect time to consider change and new beginnings. While fall might make you think about pumpkin spice and newly chilly evenings, I’m thinking about the latest round of transformations that MongoDB’s customers are embracing to thrive in an AI-powered world. In all seriousness, legacy systems and technical debt are huge challenges: the cost of tech debt has been estimated at almost $4 trillion dollars. That’s trillion with a T! Legacy systems can slow down innovation, create bottlenecks, and make it tough to deliver the seamless, real-time experiences customers increasingly expect. But companies are finding that modernizing their applications isn't just about fixing what's broken—modernization enables them to move faster and innovate for end-users. That’s why I'm incredibly excited to share the recent launch of MongoDB’s Application Modernization Platform (AMP). This AI-powered program is designed to help enterprises move beyond outdated infrastructures to embrace a flexible, data-driven future. AMP is a comprehensive approach to modernization that combines smart AI tooling with proven methodologies, enabling businesses to transform their applications from the ground up, moving from legacy monoliths to a more flexible, microservices-based architecture. In this roundup, we're spotlighting customers who understand the strategic importance of modernization. You'll see how Wells Fargo is using MongoDB to power a new credit card platform, how CSX is ensuring business continuity during a critical migration, how Intellect Design is modernizing its wealth management platform, and how Deutsche Telekom is transforming its B2C digital channels. With MongoDB, customers are showing how integral a modern database is to powering the next generation of applications—and succeeding in the AI era. Wells Fargo Wells Fargo sought to modernize its mainframe-dependent credit card platform to provide a faster, more seamless customer experience and handle an exponential increase in transaction data. The company's legacy system was costly to manage and lacked the scalability needed for its "Cards 2.0" initiative. To solve this, Wells Fargo built an operational data store (ODS) using MongoDB. This new platform allowed them to adopt reusable APIs, streamline integrations, and move from a monolithic architecture to flexible microservices. The ODS now serves 40% of traffic from external vendors, handling more than 7 million transactions with sub-second service. By leveraging MongoDB, Wells Fargo was able to jumpstart its mainframe modernization and create curated data products to serve real-time, personalized financial services. CSX CSX , a major U.S. railroad company, sought to modernize its critical operations platform, RTOP, by migrating it to the cloud. The challenge was to maintain the platform's 24/7 availability with minimal disruption to its mission-critical, near real-time operations during the transition. To solve this, CSX selected MongoDB Atlas on Azure and partnered with MongoDB Professional Services . Leveraging the Cluster-to-Cluster Sync (mongosync) feature, the team was able to facilitate continuous data synchronization and complete the entire migration in just a few hours. The move to MongoDB Atlas has equipped CSX with a more scalable and resilient platform. This modernization effort established a blueprint for migrating other critical applications and helped CSX continue its digital transformation journey toward becoming America’s best-run railroad. Intellect Design Intellect Design , a global fintech company, sought to modernize its wealth management platform to overcome legacy system bottlenecks and multihour batch processing delays. The company's rigid relational database architecture limited its ability to scale and innovate. To solve this, the company partnered with MongoDB, using our AMP methodology and generative AI tools. This transformation reengineered the platform's core components, resulting in an 85% reduction in onboarding workflow times, allowing clients to access critical portfolio insights faster than ever. This initiative is the first step in Intellect Design's long-term vision to integrate its entire application suite into a unified, AI-driven service. By leveraging MongoDB Atlas's flexible schema and powerful native tools, the company is now better positioned to deliver smarter analytics and advanced AI capabilities to its customers. Watch Intellect AI’s MongoDB.local Bengaluru keynote presentation to learn how AMP helped them transform outdated systems into scalable, modern solutions. Deutsche Telekom Deutsche Telekom , a leading telecommunications company, sought to modernize its B2C digital channels, which were fragmented by outdated legacy systems. The company needed to create a unified digital experience for its 30 million customers while improving developer productivity. By leveraging MongoDB Atlas as part of its Internal Developer Platform, Deutsche Telekom built a robust data infrastructure to unify customer data and power its new digital services. This approach allowed the company to retire legacy systems and reduce its reliance on physical shops and call centers. The transition to MongoDB Atlas led to a massive surge in digital engagement, with daily customer interactions rising from under 50,000 to approximately 1.5 million. The company's customer data platform now handles up to 15 times the load of legacy systems, supporting large-scale loyalty programs and transforming the customer experience. Video spotlight: Bendigo Bank Before you go, watch how Bendigo and Adelaide Bank modernized their core banking technology using MongoDB Atlas and generative AI. Bendigo and Adelaide Bank reduced the migration time for legacy applications from 80 hours to just five minutes. This innovative approach allowed them to quickly modernize their systems and better serve their 2.5 million customers. Want to get inspired by your peers and discover all the ways we empower businesses to innovate for the future? Visit MongoDB’s Customer Success Stories hub to see why these customers, and so many more, build modern applications with MongoDB.
The 10 Skills I Was Missing as a MongoDB User
When I first started using MongoDB, I didn’t have a plan beyond “install it and hope for the best.” I had read about how flexible it was, and it felt like all the developers swore by it, so I figured I’d give it a shot. I spun it up, built my first application, and got a feature working. But I felt like something was missing. It felt clunky. My queries were longer than I expected, and performance wasn’t great; I had the sense that I was fighting with the database instead of working with it. After a few projects like that, I began to wonder if maybe MongoDB wasn’t for me. Looking back now, I can say the problem wasn’t MongoDB, but was somewhere between the keyboard and the chair. It was me. I was carrying over habits from years of working with relational databases, expecting the same rules to apply. If MongoDB’s Skill Badges had existed when I started, I think my learning curve would have been a lot shorter. I had to learn many lessons the hard way, but these new badges cover the skills I had to piece together slowly. Instead of pretending I nailed it from day one, here’s the honest version of how I learned MongoDB, what tripped me up along the way, and how these Skill Badges would have helped. Learning to model the MongoDB way The first thing I got wrong was data modeling. I built my schema like I was still working in SQL– every entity in its own collection, always referencing instead of embedding, and absolutely no data duplication. It felt safe because it was familiar. Then I hit my first complex query. It required data from various collections, and suddenly, I found myself writing a series of queries and stitching them together in my code. It worked, but it was a messy process. When I discovered embedding, it felt like I had found a cheat code. I could put related data together in one single document, query it in one shot, and get better performance. That’s when I made my second mistake. I started embedding everything. At first, it seemed fine. However, my documents grew huge, updates became slower, and I was duplicating data in ways that created consistency issues. That’s when I learned about patterns like Extended References, and more generally, how to choose between embedding and referencing based on access patterns and update frequency. Later, I ran into more specialized needs, such as pre-computing data, embedding a subset of a large dataset into a parent, and tackling schema versioning. Back then, I learned those patterns by trial and error. Now, they’re covered in badges like Relational to Document Model , Schema Design Patterns , and Advanced Schema Patterns . Fixing what I thought was “just a slow query” Even after I got better at modeling, performance issues kept popping up. One collection in particular started slowing down as it grew, and I thought, “I know what to do! I’ll just add some indexes.” I added them everywhere I thought they might help. Nothing improved. It turns out indexes only help if they match your query patterns. The order of fields matters, and whether you cover your query shapes will affect performance. Most importantly, just because you can add an index doesn’t mean that you should be adding it in the first place. The big shift for me was learning to read an explain() plan and see how MongoDB was actually executing my queries. Once I started matching my indexes to my queries, performance went from “ok” to “blazing fast.” Around the same time, I stopped doing all my data transformation in application code. Before, I’d pull in raw data and loop through it to filter, group, and calculate. It was slow, verbose, and easy to break. Learning the aggregation framework completely changed that. I could handle the filtering and grouping right in the database, which made my code cleaner and the queries faster. There was a lot of guesswork in how I created my indexes, but the new Indexing Design Fundamentals covers that now. And when it comes to querying and analyzing data, Fundamentals of Data Transformation is there to help you. Had I had those two skills when I first started, I would’ve saved a lot of time wasted on trial and error. Moving from “it works” to “it works reliably” Early on, my approach to monitoring was simple: wait for something to break, then figure out why. If a performance went down, I’d poke around in logs. If a server stopped responding, I’d turn it off and on again, and hope for the best. It was stressful, and it meant I was always reacting instead of preventing problems. When I learned to use MongoDB’s monitoring tools properly, that changed. I could track latency, replication lag, and memory usage. I set alerts for unusual query patterns. I started seeing small problems before they turned into outages. Performance troubleshooting became more methodical as well. Instead of guessing, I measured. Breaking down queries, checking index use, and looking at server metrics side by side. The fixes were faster and more precise. Reliability was the last piece I got serious about. I used to think a working cluster was a reliable cluster. But reliability also means knowing what happens if a node fails, how quickly failover kicks in, and whether your recovery plan actually works in practice. Those things you can now learn in the Monitoring Tooling , Performance Tools and Techniques, and Cluster Reliability skill badges. If you are looking at deploying and maintaining MongoDB clusters, these skills will teach you what you need to know to make your deployment more resilient. Getting curious about what’s next Once my clusters were stable, I stopped firefighting, and my mindset changed. When you trust your data model, your indexes, your aggregations, and your operations, you get to relax. You can then spend that time on what’s coming next instead of fixing what’s already in production. For me, that means exploring features I wouldn’t have touched earlier, like Atlas Search , gen AI, and Vector Search . Now that the fundamentals are solid, I can experiment without risking stability and bring in new capabilities when a project actually calls for them. What I’d tell my past self If I could go back to when I first installed MongoDB, I’d keep it simple: Focus on data modeling first. A good foundation will save you from most of the problems I ran into. Once you have that, learn indexing and aggregation pipelines. They will make your life much easier when querying. Start monitoring from day one. It will save you a lot of trouble in the long run. Take a moment to educate yourself. You can only learn so much from trial and error. MongoDB offers a myriad of resources and ways to upskill yourself. Once you have established that base, you can explore more advanced topics and uncover the full potential of MongoDB. Features like Vector Search, full-text search with Atlas Search, or advanced schema design patterns are much easier to adopt when you trust your data model and have confidence in your operational setup. MongoDB Skill Badges cover all of these areas and more. They are short, practical, and focused on solving real problems you will face as a developer or DBA, and most of them can be taken over your lunch break. You can browse the full catalog at learn.mongodb.com/skills and pick the one that matches the challenge you are facing today. Keep going from there, and you might be surprised how much more you can get out of the database once you have the right skills in place.
Smarter AI Search, Powered by MongoDB Atlas and Pureinsights
We’re excited to announce that the integration of MongoDB Atlas with the Pureinsights Discovery Platform is now generally available—bringing to life a reimagined search experience powered by keyword, vector, and gen AI. What if your search box didn’t just find results, but instead understood intent? That’s exactly what this integration delivers! Beyond search: From matching to meaning Developers rely on MongoDB’s expansive knowledge ecosystem to find answers fast. But even with a rich library of technical blogs, forum threads, and documentation, traditional keyword search often falls short—especially when queries are nuanced, multilingual, or context-driven. That’s where the MongoDB-Pureinsights solution shines. Built on MongoDB Atlas and orchestrated by the Pureinsights Discovery platform, this intelligent search experience starts with the fundamentals: fast, accurate keyword results, powered by MongoDB Atlas Search . But as queries grow more ambiguous—say, “tutorials for AI”—the platform steps up. MongoDB Atlas Vector Search with Voyage AI , available as an embedding and reranking option (now part of MongoDB), goes beyond literal keywords to interpret intent—helping applications deliver smarter, more relevant results. The outcome: smarter, semantically aware responses that feel intuitive and accurate—because they are. What’s more, with generative answers enabled, the platform synthesizes information across MongoDB’s ecosystem (blog content, forums, and technical docs) to deliver clear, contextual answers using state-of-the-art language models. But it's not just pointing you to the right page. Instead, the platform is providing the right answer, with citations, ready to use. It’s like embedding a domain-trained AI assistant directly into your search bar. “As organizations look to move beyond traditional keyword search, they need solutions that combine speed, relevance, and contextual understanding,” said Haim Ribbi, Vice President, Global CSI, VAR & Tech Partner at MongoDB. “MongoDB Atlas provides the foundation for smarter discovery, and this collaboration with Pureinsights shows how easily teams can deliver gen AI-powered search experiences using their existing content.” Built for users everywhere But intelligence alone doesn’t make it transformational. What sets this experience apart is its adaptability. Whether you’re a developer troubleshooting in Berlin or a product owner building in São Paulo, the platform tailors responses to your preferences. Prefer concise summaries or deep technical dives? Want to translate answers in real time? Need responses that reflect your role and context? You’re in control. From tone and length to language and specificity, this is a search that truly understands you—literally and figuratively. Built on MongoDB. Elevated by Voyage AI. Delivered by Pureinsights. At the core of this solution is MongoDB Atlas, which unifies fast, scalable data access to structured content through Atlas Search and Atlas Vector Search. Looking ahead, by integrating with Voyage AI’s industry-leading embedding models, MongoDB Atlas aims to make semantic search and retrieval-augmented generation (RAG) applications even more accurate and reliable. While currently in private preview, this enhancement signals a promising future for developers building intelligent, AI-powered experiences. Pureinsights handles the orchestration layer. Their Discovery Platform ingests and enriches content, blends keyword, vector, and generative search into a seamless UI, and integrates with large language models like GPT-4. The platform supports multilingual capabilities, easy deployment, and enterprise-grade scalability out of the box. While generative answers are powered by integrated large language models (LLMs) and may vary by deployment, the solution is enterprise-ready, cloud-native, and built to scale. Bringing intelligent discovery to your own data Watch the demo video to see AI-powered search in action across 4,000+ pages of MongoDB content—from community forums and blog posts to technical documentation. While the demo features MongoDB’s content, the solution is built to adapt. You can bring the same AI-powered experience to your internal knowledge base, customer support portal, or developer hub—no need to build from scratch. Visit our partner page to learn more about MongoDB and Pureinsights and how we’re helping enterprises build smarter, AI-powered search experiences. Apply for a free gen AI demo using your enterprise content.
Charting a New Course for SaaS Security: Why MongoDB Helped Build the SSCF
The way companies everywhere work is powered by SaaS. From collaboration tools to critical infrastructure, organizations rely on SaaS applications to drive their business forward. But this widespread adoption has created a significant security blind spot. How can you ensure every one of these applications is configured securely when they all offer different settings, capabilities, and levels of visibility?
MongoDB SQL Interface: Now Available for Enterprise Advanced
Today, we’re excited to announce the general availability of MongoDB SQL Interface for MongoDB Enterprise Advanced. This builds upon the foundation established by MongoDB Atlas SQL Interface, which began by extending SQL connectivity to self-managed MongoDB deployments. Teams can now query their MongoDB data directly from familiar BI tools like Tableau and Microsoft’s Power BI using standard ODBC and Java Database Connectivity (JDBC) connections, eliminating the need to learn MongoDB Query Language (MQL), build extract, transform, and load (ETL) pipelines, or move data.
From Niche NoSQL to Enterprise Powerhouse: The Story of MongoDB's Evolution
I joined MongoDB two years ago through the acquisition of Grainite, a database startup I co-founded. My journey here is built on a long career in databases, including many years at Google, where I was most recently responsible for the company’s entire suite of native databases—Bigtable, Spanner, Datastore, and Firestore—powering both Google's own products and Google Cloud customers. My passion has always been large-scale distributed systems, and I find that the database space offers the most exciting and complex challenges to solve.
Simplify AI-Driven Data Connectivity With MongoDB and MCP Toolbox
The wave of generative AI applications is revolutionizing how businesses interact with and derive value from their data. Organizations need solutions that simplify these interactions and ensure compatibility with an expanding ecosystem of databases. Enter MCP Toolbox for Databases, an open-source Model Context Protocol (MCP) server that enables seamless integration between gen AI agents and enterprise data sources using a standardized protocol pioneered by Anthropic. With the built-in capability to query multiple data sources simultaneously and unify results, MCP Toolbox eliminates fragmented integration challenges, empowering businesses to unlock the full potential of their data.
MongoDB Community Edition to Atlas: A Migration Masterclass With BharatPE
Launched in 2018, BharatPE is a fintech pioneer serving millions of Indian retailers and small businesses across more than 450 cities. The company processes over ₹12,000 crore (about US $1.368 billion) in monthly Unified Payments Interface (UPI)-based transactions.
MongoDB.local NYC 2025: Defining the Ideal Database for the AI Era
Yesterday, we welcomed thousands of developers and executives to MongoDB.local NYC, the latest stop in our global .local series. Over the past year, we’ve connected with tens of thousands of partners and customers in 20 cities worldwide. But it’s especially meaningful to be in New York—where MongoDB was founded and where we are still headquartered.
Celebrating Excellence: MongoDB Global Partner Awards 2025
In a world being reshaped by AI and rapid technological change, one thing is clear: our partners are powering the future with MongoDB. Together, we help customers modernize legacy systems, solve challenges from security to budget constraints, and build the next wave of AI-powered applications.
The Future of AI Software Development is Agentic
Today in New York, our flagship MongoDB.local event is bringing together thousands of developers and tech leaders to discuss the future of building with MongoDB. Among the many exciting innovations and product announcements shared during the event, one theme has stood out: empowering developers to reliably build with AI and create AI solutions at scale on MongoDB. This post will explore how these advancements are set to accelerate developer productivity in the AI era.
MongoDB Queryable Encryption Expands Search Power
Today, MongoDB is expanding the power of Queryable Encryption by introducing support for prefix, suffix, and substring queries. Now in public preview, these capabilities extend the technology beyond equality and range queries, unlocking broader use cases for secure, expressive search on encrypted data.
Supercharge Self-Managed Apps With Search and Vector Search Capabilities
MongoDB is excited to announce the public preview of search and vector search capabilities for use with MongoDB Community Edition and MongoDB Enterprise Server. These new capabilities empower developers to prototype, iterate, and build sophisticated, AI-powered applications directly in self-managed environments with robust search functionality.
Unlock AI With MongoDB and LTIMindtree’s BlueVerse Foundry
Many enterprises are eager to capitalize on gen AI to transform operations and stay competitive, but most remain stuck in proofs of concept that never scale. The problem isn’t ambition. It’s architecture. Rigid legacy systems, brittle pipelines, and fragmented data make it hard to move from idea to impact.
MongoDB Atlas Now Available in the Vercel Marketplace
We are pleased to announce that MongoDB Atlas is now available in the Vercel Marketplace. It’s now easier than ever to leverage MongoDB’s flexible document model, distributed architecture, and versatile built-in search capabilities from within the Vercel ecosystem. The combination of Vercel, the company that provides the tools and infrastructure for developers to build on the AI Cloud, and MongoDB, the world’s leading modern database, creates a supercharged offering that uniquely enables developers to rapidly build, scale, and adapt AI applications.
How MongoDB Helps Your Brand Thrive in the Age of AI
The Zero Moment of Truth (ZMOT) was coined by Google to describe the moment when a user researches a product online before buying—typically through search, reviews, or videos. In a world where AI agents are intermediating shopping decisions (such as through assistant bots, personal agents, or even procurement AIs), the traditional concept of ZMOT starts to break down, because:
MongoDB Engineering: Expanding Our Presence in Greater Toronto
Toronto has long been recognized as one of North America's fastest-growing tech hubs, boasting a diverse, world-class talent pool and a vibrant startup culture. As MongoDB continues to expand globally, Toronto stands out as a strategic location to drive engineering excellence, foster innovation, and cultivate a collaborative culture. We're currently hiring for three key product areas in the greater Toronto area: Identity and Access Management (IAM), Atlas Stream Processing, and Atlas Search.
MongoDB and Hope AI: Craft Enterprise Code with AI
The world of software development is constantly evolving, and the demand for tools that streamline processes, increase efficiency, and enable developers to easily create robust applications continues to rise. For this context, MongoDB and Bit.dev have teamed up to bring a transformative integration to the table, combining MongoDB’s leading database platform with Bit Cloud’s AI-powered, component-based development platform, featuring the Hope AI agent.
Django MongoDB Backend Now Generally Available
We are pleased to announce that the Django MongoDB Backend is now generally available. Production-ready, tested, and performant for most common use cases, the package makes it easier than ever before to use MongoDB with Django. Try it today to use familiar Django libraries and conventions while still getting the flexibility of MongoDB’s document model on a scalable, cloud-agnostic platform.
Streamlining Editorial Operations with Gen AI and MongoDB
Are you overwhelmed by the sheer volume of information and the constant pressure to produce content that truly resonates? Audiences constantly demand engaging and timely topics. As the daily influx of information grows massively, it’s becoming increasingly tough to identify what’s interesting and relevant. Consequently, teams are spending more time researching trends, verifying sources, and managing tools than actually creating compelling stories.
Driving Airport Efficiency with MongoDB and Dataworkz
In 2024, airports worldwide supported over 40 million flights.1 What these millions of flights translate to is intense activity on the ground, where in each and every flight, passengers, and pieces of cargo rely on a complex network of supporting operations. These include baggage and cargo handling, aircraft towing, refueling, catering, maintenance, and the coordination of various air-side vehicles.
New Benchmark Tests Reveal Key Vector Search Performance Factors
Search at scale is challenging. As powerful as vector search is, it can be tough to know how to properly weigh key factors like accuracy, cost, and throughput for larger workloads. We recently released the MongoDB Benchmark for Atlas Vector Search, which outlines crucial performance optimization strategies for vector search, providing a comprehensive guide to achieving optimal results with large-scale datasets. The primary goal of our guide is to significantly reduce friction for your first vector test at scale (>10M vectors) when evaluating performance for Atlas Vector Search.
Powering Long-Term Memory for Agents With LangGraph and MongoDB
We're excited to introduce the MongoDB Store for LangGraph—a powerful integration that brings flexible and scalable long-term memory to AI agents. This new integration between MongoDB and LangGraph, LangChain’s open-source agent orchestration framework, allows agents to remember and build on previous interactions across multiple sessions instead of only retaining memory for the current session. The result is more intelligent, context-aware agentic systems that learn and improve over time.
Scale Performance with View Support for MongoDB Atlas Search and Vector Search
We are thrilled to announce the general availability (GA) of View Support for MongoDB Atlas Search and Atlas Vector Search, available on MongoDB versions 8.0+. This new feature allows you to perform powerful pre-indexing optimizations—including Partial Indexing to filter your collections, and Document Transformation to reshape your data for peak performance.
How Tavily Uses MongoDB to Enhance Agentic Workflows
As AI agents grow in popularity and are used in increasingly mission-critical ways, preventing hallucinations and giving agents up-to-date context is more important than ever. Context can come from many sources—prompts, documents, proprietary internal databases, and the internet itself. Among these sources, the internet stands out as uniquely valuable, a best-in-class resource for humans and LLMs alike due to its massive scale and constant updates. But how can large language models (LLMs) access the latest and greatest information from the internet?
Fine-tune MongoDB Deployments with AppMap’s AI Tools and Diagrams
In a rapidly changing landscape, organizations that adapt for growth, efficiency, and competitiveness will be best positioned to succeed. Central to this effort is the continuous fine-tuning and troubleshooting of existing deployments, enabling companies to deliver high-performance applications that meet their business requirements.
Google’s Datastream Powers Seamless MongoDB Integration into BigQuery
Google’s Datastream service now offers public preview support for MongoDB as a source, marking an exciting expansion of its data streaming capabilities. This new feature enables users to seamlessly ingest data from MongoDB databases into Google’s BigQuery and Cloud Storage for real-time insights and enhanced data-driven decision-making.
Innovating with MongoDB | Customer Successes, July 2025
How time flies! Summer is in full swing, and it’s already time for another MongoDB customer success roundup. This month, we’re focusing on customers who have combined the flexibility of MongoDB Atlas with cutting-edge AI advancements to unlock insights and fuel innovation.
PLAID, Inc. Optimizes Real-Time Data With MongoDB Atlas Stream Processing
A MongoDB customer since 2015, Tokyo, Japan-based PLAID, Inc. works to “maximize the value of people with the power of data,” according to the company’s mission statement. PLAID’s customer experience platform, KARTE, analyzes and visualizes website and application users’ data in real time, offering the company’s customers a one-stop solution that helps them better understand their customers and provide personalized experiences.
Introducing MongoDB’s Multimodal Search Library For Python
AI applications increasingly rely on a variety of different data types—text, images, charts, and complex documents—to drive rich user experiences. For developers building these applications, determining how to effectively search and retrieve information that spans these data types presents a challenge. Developers have to consider different chunking strategies, figure out how to incorporate figures and tables, and manage context that could bleed across chunks.
Build an AI-Ready Data Foundation with MongoDB Atlas on Azure
It’s time for a database reality check. While conversations around AI usually focus on its immense potential, these advancements are also bringing developers face to face with an immediate challenge: Their organizations’ data infrastructure isn’t ready for AI.
New in MongoDB Atlas Stream Processing: External Function Support
Today we're excited to introduce External Functions, a new capability in MongoDB Atlas Stream Processing that lets you invoke AWS Lambda, directly from your streaming pipelines. The addition of External Functions to Atlas Stream Processing unlocks new ways to enrich, validate, and transform data in-flight, enabling smarter and more modular event-driven applications. This functionality is available through a new pipeline stage, $externalFunction.
Introducing Query Shape Insights in MongoDB Atlas
As modern applications scale, databases are often the first to show signs of stress, especially when query patterns shift or inefficiencies arise. MongoDB has invested in building a robust observability suite to help teams monitor and optimize performance. Tools such as the Query Profiler and, more recently, Namespace Insights provide deep visibility into query behavior and collection-level activity. While powerful, these capabilities primarily focus on individual queries or collections, limiting their ability to surface systemic patterns that impact overall application performance.
Build Event-Driven Apps Locally with MongoDB Atlas Stream Processing
Building event-driven architectures (EDAs) often poses challenges, particularly when you’re integrating complex cloud components with local development services. For developers, working directly from a local environment provides convenience, speed, and flexibility. Our demo application demonstrates a unique development workflow that balances local service integration with cloud stream processing, showcasing portable, real-time event handling using MongoDB Atlas Stream Processing and ngrok.
Introducing Text to MongoDB Query API with LangChain: Query MongoDB using Natural Language
We're excited to announce that we've added a powerful new capability to the MongoDB integration for LangChain: Text to MongoDB Query API. This enhancement allows developers to easily transform natural language queries into the MongoDB Query API, enabling them to build new and intuitive application interfaces powered by large language models (LLMs).
MongoDB Commits to FedRAMP High and DoD Impact Level 5 Authorizations
I’m pleased to announce that today, MongoDB is taking the next step in our commitment to the U.S. public sector by pursuing Federal Risk and Authorization Management Program (FedRAMP) High and Impact Level 5 (IL5) authorizations for MongoDB Atlas for Government.
Unified Commerce for Retail Innovation with MongoDB Atlas
Unified commerce is often touted as a transformative concept, yet it represents a long-standing challenge for retailers—disparate data sources and siloed systems. It’s less of a revolutionary concept and more of a necessary shift to make long-standing problems more manageable. Doing so provides a complete business overview—and enables personalized customer experiences—by breaking down silos and ensuring consistent interactions across online, in-store, and mobile channels. Real-time data analysis enables targeted content and recommendations.
Intellect Design Accelerates Modernization by 200% with MongoDB and Gen AI
It’s difficult to overstate the importance of modernization in the age of AI. Because organizations everywhere rely on software to connect with customers and run their businesses, how well they manage the AI-driven shift in what software does—from handling predefined tasks and following rules, to being a dynamic, problem-solving partner—will determine whether or note they succeed.
MongoDB Atlas CLI: Full API Coverage and Faster Updates
We’re thrilled to announce that starting today, you can access every feature in the MongoDB Atlas Administration API from the MongoDB Atlas CLI. This significant enhancement means that you’ll also get new features quicker than ever, within just days of their launch. No more hoping for feature support or switching between interfaces. If it’s in the MongoDB Atlas Admin API, it’s in your Atlas CLI.
MongoDB and deepset Pave the Way for Effortless AI App Creation
Building robust AI-powered applications has often been a complex, resource-intensive process. It typically demands deep technical and domain expertise, significant development effort, and a long time to value. For IT decision-makers, the goal is clear: enable AI innovation to achieve real business outcomes without compromising scalability, flexibility, or performance, and without creating bottlenecks for development teams serving business teams and customers.
Spring Data MongoDB: Now with Vector Search and Queryable Encryption
MongoDB is pleased to announce new enhancements to the Spring Data MongoDB library with the release of version 4.5.0, increasing capabilities related to vector search, vector search index creation, and queryable encryption. Spring Data MongoDB makes it easier for developers to integrate MongoDB into their Java applications, taking advantage of a potent combination of powerful MongoDB features and familiar Spring conventions.
Teach & Learn: Professor Margaret Menzin, Simmons University
MongoDB’s Teach & Learn blog series interviews students and educators worldwide who are using MongoDB to enhance their classrooms. These stories highlight how MongoDB’s platform and resources are revolutionizing education and preparing tech professionals.
Back Up MongoDB Enterprise Advanced via Cohesity, Rubrik, or Nutanix
In a world where software drives business strategy, data resilience has become a core business imperative. In fact, 90% of IT and security leaders report their organizations experienced a cyberattack in the past year, with 18% facing more than 25 attacks.1 Every mission-critical workload must be secure, compliant, and able to recover quickly from any disruption.
Now in Public Preview: The MongoDB for IntelliJ Plugin
The MongoDB for IntelliJ plugin empowers Java developers to build and ship applications quickly and confidently by enhancing the Database Explorer experience in the IntelliJ IDEA. After first announcing the plugin in private preview at .local London in the fall of 2024, we’ve partnered with our friends at JetBrains to release a new and improved experience in public preview. Using the MongoDB for IntelliJ plugin, developers can analyze their application code alongside their database, accelerating query development, validating accuracy, and highlighting anti-patterns with proactive performance insights.
PointHealth AI: Scaling Precision Medicine for Millions
For years, the healthcare industry has grappled with a persistent, frustrating challenge: the absence of a unified, precise approach to patient treatment. Patients often endure "trial-and-error prescribing," leading to delayed recovery and a system bogged down by inefficiency. The core problem lies in scaling precision medicine—making advanced, individualized care accessible to millions of people.
What I Wish I’d Known Before Becoming a Solutions Architect
My journey to becoming a solutions architect (SA) has been anything but straightforward. After working as an engineer in telecom, receiving my PhD in computer science, and spending time in the energy efficiency and finance industries, I joined MongoDB to work at the intersection of AI and data solutions, guiding enterprises to success with MongoDB’s flexible, scalable database platform. It’s a role that requires having both deep technical knowledge and business acumen, and while the nature of the SA role has evolved over time, one thing has remained constant: the need to understand people, their problems, and how the technology we use can solve them.
Navigating the AI Revolution: The Importance of Adaptation
In 1999, Steve Ballmer gave a famous speech in which he said that the “key to industry transformation, the key to success is developers developers developers developers developers developers developers, developers developers developers developers developers developers developers! Yes!”
Luna AI and MongoDB Throw Lifeline to Product Teams
Product and engineering leaders face a constant battle: making crucial real-time decisions amidst a sea of fragmented, reactive, and disconnected progress data. The old ways—chasing updates, endlessly pinging teams on Slack, digging through Jira, and enduring endless status meetings—simply aren't cutting it. This struggle leaves product and engineering leads wasting precious hours on manual updates, while critical risks silently slip through the cracks. This crucial challenge is precisely what Luna AI, powered by its robust partnership with MongoDB, is designed to overcome.
Mongoose Now Natively Supports QE and CSFLE
Mongoose 8.15.0 has been released, which adds support for the industry-leading encryption solutions available from MongoDB. With this update, it’s simpler than ever to create documents leveraging MongoDB Queryable Encryption (QE) and Client-Side Level Field Encryption (CSFLE), keeping your data secure when it is in use. Read on to learn more about approaches to encrypting your data when building with MongoDB and Mongoose.
New Data Management Experience in the Atlas UI
For the modern developer, each day is a balancing act. Even a small workflow hiccup can throw off momentum, making seamless data management not just a convenience, but a necessity for staying productive. At MongoDB, our mission is to empower developers to innovate without friction, providing the tools they need, right when they need them. That's why we've enhanced Data Explorer—a data interaction tool in the MongoDB Atlas UI that helps developers stay in the zone, innovate faster, and further streamline their workflows.
Innovating with MongoDB | Customer Successes, May 2025
Welcome back to MongoDB’s bi-monthly roundup of customer success stories! In this series, we’ll share inspirational examples of how organizations around the globe are working with MongoDB to succeed and address critical challenges in today’s multihyphenate (fast-paced, ever-evolving, always-on) world.
Unlocking Literacy: Ojje’s Journey With MongoDB
In the rapidly evolving landscape of education technology, one startup is making waves with a bold mission to revolutionize how young minds learn to read. Ojje is redefining literacy education by combating one of the most pressing issues in education today—reading proficiency.
OrderOnline: AI Improves Conversion Rate by 56% with MongoDB
Established by Ordivo Group in 2018, OrderOnline has quickly become a driving force behind Indonesia’s thriving social commerce market. OrderOnline offers an end-to-end solution for organizations and individuals selling on social platforms like Facebook Marketplace, typically through social ads, landing pages, and storefronts.
Introducing Automated Risk Analysis in Relational Migrator
When planning a complex home renovation, homeowners often turn to a team of experts to evaluate the project. Architects sketch out designs, structural engineers assess a house’s structure and foundation, and contractors estimate renovation costs and timelines. This process can take weeks or even months before construction begins, consuming valuable time and precious resources.
Capgemini & MongoDB: Smarter AI and Data for Business
AI is reshaping the way enterprises operate, but one fundamental challenge still exists: Most applications were not built with AI in mind. Traditional enterprise systems are designed for transactions, not intelligent decision-making, making it difficult to integrate AI at scale. To bridge this gap, MongoDB and Capgemini are enabling businesses to modernize their infrastructure, unify data platforms, and power AI-driven applications. This blog explores the trends driving the AI revolution and the role that Capgemini and MongoDB play in powering AI solutions.
MongoDB 8.0, Predefined Roles Now Available on DigitalOcean
I’m pleased to announce that MongoDB 8.0 is now available on DigitalOcean Managed MongoDB, bringing enhanced performance, scalability, and security to DigitalOcean’s fully managed MongoDB service. This update improves query efficiency, expands encryption capabilities, and optimizes scaling for large workloads.
Ubuy Scales E-Commerce Globally and Unlocks AI With MongoDB
In today’s digital era, global e-commerce presents a major growth opportunity. This is particularly acute for businesses looking to expand beyond their local markets. While some companies thrive by serving domestic customers, others capitalize on cross-border e-commerce to reach a wider audience.
Announcing the MongoDB MCP Server
Today, MongoDB is pleased to share the MongoDB Model Context Protocol (MCP) Server in public preview. The MongoDB MCP Server enables AI-powered development by connecting MongoDB deployments—whether they’re on MongoDB Atlas, MongoDB Community Edition, or MongoDB Enterprise Advanced—to MCP-supported clients like Windsurf, Cursor, GitHub Copilot in Visual Studio Code, and Anthropic’s Claude. Using MCP as the two-way communication protocol, the MongoDB MCP Server makes it easy to interact with your data using natural language and perform database operations with your favorite agentic AI tools, assistants, and platforms.
VPBank Builds OpenAPI Platform With MongoDB
Open banking is the practice of banks sharing some of their financial data and services to developers for third-party financial service providers through an API. Open banking has accelerated the digitization of the financial services and banking industries. It also helps foster innovation and enhance customer experience by helping create customer-centric, personalized services and experiences.
How Neurodiversity Shines at MongoDB
At MongoDB, we continually work to foster a workplace culture where everyone can be their authentic selves. In fact, “Embrace the Power of Differences” is one of our core company values. Our employees’ diverse experiences, backgrounds, and perspectives help give MongoDB its competitive edge and lead to continuous innovation.
Transforming News Into Audio Experiences with MongoDB and AI
You wake up, brew your coffee, and start your day with a perfectly tailored podcast summarizing the latest news—delivered in a natural, engaging voice. No manual curation, no human narration, just seamless AI magic. Sounds like the future? It's happening now, powered by MongoDB and generative AI.
GraphRAG with MongoDB Atlas: Integrating Knowledge Graphs with LLMs
A key challenge AI developers face is providing context to large language models (LLMs) to build reliable AI-enhanced applications; retrieval-augmented generation (RAG) is widely used to tackle this challenge. While vector-based RAG, the standard (or baseline) implementation of retrieval-augmented generation, is useful for many use cases, it is limited in providing LLMs with reasoning capabilities that can understand relationships between diverse concepts scattered throughout large knowledge bases. As a result, the accuracy of vector RAG-enhanced LLM outputs in applications can disappoint—and even mislead—end users.
Modernize On-Prem MongoDB With Google Cloud Migration Center
Shifting your business infrastructure to the cloud offers significant advantages, including enhanced system performance, reduced operational costs, and increased speed and agility. However, a successful cloud migration isn’t a simple lift-and-shift. It requires a well-defined strategy, thorough planning, and a deep understanding of your existing environment to align with your company’s unique objectives. Google Cloud’s Migration Center is designed to simplify this complex process, acting as a central hub for your migration journey. It streamlines the transition from your on-premises servers to the Google Cloud environment, offering tools for discovery, assessment, and planning.
Introducing New Navigation for MongoDB Atlas and Cloud Manager
MongoDB is excited to announce a major update to MongoDB Atlas and MongoDB Cloud Manager: a redesigned user experience that improves the workflow and navigation to access services and tools. This redesign ensures users can seamlessly navigate the Atlas and Cloud Manager platforms, intuitively accessing their most-used services and completing tasks more efficiently.
MongoDB 8.0: Improving Performance, Avoiding Regressions (duplicate)
MongoDB 8.0 is the most secure, durable, available and performant version of MongoDB yet: it’s 36% faster in read workloads and 32% faster in mixed read and write workloads than MongoDB 7.0 In addition to benefitting customers, MongoDB 8.0’s performance has also brought significant benefits to our own internal applications, as my colleague Jonathan Brill recently noted in his own blog post.
Introducing MongoDB Atlas Service Accounts via OAuth 2.0
Authentication is a crucial aspect of interacting with the MongoDB Atlas Administration API, as it ensures that only authorized users or applications can access and manage resources within a MongoDB Atlas project. While MongoDB Atlas users currently have programmatic API keys (PAKs) as their primary authentication method, we recognize that development teams have varying authentication workflow requirements.
MongoDB 8.0: Improving Performance, Avoiding Regressions
MongoDB 8.0 is the most secure, durable, available and performant version of MongoDB yet: it’s 36% faster in read workloads and 32% faster in mixed read and write workloads than MongoDB 7.0 In addition to benefitting customers, MongoDB 8.0’s performance has also brought significant benefits to our own internal applications, as my colleague Jonathan Brill recently noted in his own blog post.
MongoDB Powers M-DAQ’s Anti-Money Laundering Compliance Platform
Founded and headquartered in Singapore, M-DAQ Global is a fintech powerhouse providing seamless cross-border transactions for businesses worldwide. M-DAQ’s comprehensive suite of foreign exchange, collections, and payments solutions help organizations of all sizes navigate the complexities of global trade, offering FX clarity, certainty, and payment mobility.
LangChainGo and MongoDB: Powering RAG Applications in Go
MongoDB is excited to announce our integration with LangChainGo, making it easier to build Go applications powered by large language models (LLMs). This integration streamlines LLM-based application development by leveraging LangChainGo’s abstractions to simplify LLM orchestration, MongoDB’s vector database capabilities, and Go’s strengths as a performant, scalable, and easy-to-use production-ready language.
Announcing the 2025 MongoDB PhD Fellowship Recipients
At MongoDB, we’re committed to fostering collaboration between academia and industry to support emerging research leaders. Now in its second year, the aim of the MongoDB PhD Fellowship Program is to advance cutting-edge research in computer science. Fellows receive financial support, mentorship, and opportunities to engage with MongoDB’s researchers and engineers throughout the year-long fellowship. They are also invited to present their research at MongoDB events.
Secure and Scale Data with MongoDB Atlas on Azure and Google Cloud
MongoDB is committed to simplifying the development of robust, data-driven applications—regardless of where the data resides. Today, we’re announcing two major updates that enhance the security, scalability, and flexibility of MongoDB Atlas across cloud providers.
How Cognistx’s SQUARY AI is Redefining Information Access
In a world where information is abundant but often buried, finding precise answers can be tedious and time-consuming. People spend hours a week simply searching for the information they need. Cognistx, an applied AI startup and a member of the MongoDB for Startups program, is on a mission to eliminate this inefficiency. Through its flagship product, SQUARY AI, the company is building tools to make information retrieval faster, more reliable, and radically simpler.
Innovating with MongoDB | Customer Successes, March 2025
Hello and welcome! This is the first installment of a new bi-monthly blog series showcasing how companies around the world are using MongoDB to tackle mission-critical challenges. As the leading database for modern applications, MongoDB empowers thousands of organizations to harness the power of their data and to drive creativity and efficiency across industries. This series will shine a light on some of those amazing stories.
Building Gen AI with MongoDB & AI Partners | February 2025
February was big for MongoDB—and, more importantly, for anyone looking to build AI applications that deliver highly accurate, relevant information (in other words, for everyone building AI apps). MongoDB announced the acquisition of Voyage AI, a pioneer in state-of-the-art embedding and reranking models that power next-generation AI applications.
ORiGAMi: A Machine Learning Architecture for the Document Model
The document model has proven to be the optimal paradigm for modern application schemas. At MongoDB, we've long understood that semi-structured data formats like JSON offer superior expressiveness compared to traditional tabular and relational representations. Their flexible schema accommodates dynamic and nested data structures, naturally representing complex relationships between data entities.
ZEE5: A Masterclass in Migrating Microservices to MongoDB Atlas
ZEE5 is a leading Indian over-the-top (OTT) video-streaming platform that delivers streamed content via Internet-connected devices. The platform offers a wide variety of content—movies, TV shows, web series, and original programming—across multiple genres and languages.
Debunking MongoDB Myths: Security, Scale, and Performance
MongoDB has come a long way since its founding in 2007. Many people first encountered MongoDB during its early years. They formed opinions about the database based on impressions from 2012 to 2014. However, much has changed since then.
Advancing Encryption in MongoDB Atlas
Maintaining a strong security posture and ensuring compliance with regulations and industry standards are core responsibilities of enterprise security teams. However, satisfying these responsibilities is becoming increasingly complex, time-consuming, and high-stakes.
AI-Powered Java Applications With MongoDB and LangChain4j
MongoDB is pleased to introduce its integration with LangChain4j, a popular framework for integrating large language models (LLMs) into Java applications. This collaboration simplifies the integration of MongoDB Atlas Vector Search into Java applications for building AI applications.
Secure by Default: Mandatory MFA in MongoDB Atlas
On March 26, 2025, MongoDB will start rolling out mandatory multi-factor authentication (MFA) for MongoDB Atlas users. While MFA has long been supported in Atlas, it was previously optional. MongoDB is committed to delivering customers the highest level of security, and the introduction of mandatory MFA adds an extra layer of protection against unauthorized access to MongoDB Atlas.
Debunking MongoDB Myths: Enterprise Use Cases
MongoDB is frequently viewed as a go-to database for proof-of-concept (POC) applications. The flexibility of MongoDB’s document model enables teams to rapidly prototype and iterate. This allows for adaptation of the data model as requirements evolve during the early stages of application development. It is common for applications to continuously evolve during initial development. However, moving an application to production requires developers to add validation logic and fully define the data structures.
BAIC Group Powers the Internet of Vehicles With MongoDB
The Internet of Vehicles (IoV) is revolutionizing the automotive industry by connecting vehicles to the Internet. Vehicle sensors generate a wealth of data, affording manufacturers, vehicle owners, and traffic departments deep insights. This unlocks new business opportunities and enhances service experiences for both enterprises and consumers.
Supercharge AI Data Management With Knowledge Graphs
WhyHow.AI has built and open-sourced a platform using MongoDB, enhancing how organizations leverage knowledge graphs for data management and insights. Integrated with MongoDB, this solution offers a scalable foundation with features like vector search and aggregation to support organizations in their AI journey.
Reintroducing the Versioned MongoDB Atlas Administration API
Our MongoDB Atlas Administration API has gotten some work done in the last couple of years to become the best “Versioned” of itself. In this blog post, we’ll go over what’s changed and why migrating to the newest version can help you have a seamless experience managing MongoDB Atlas.
MongoDB Empowers ISVs to Drive SaaS Innovation in India
Independent Software Vendors (ISVs) play a pivotal role in the Indian economy. Indeed, the Indian software market is expected to experience an annual growth rate of 10.40%, resulting in a market volume of $15.89bn by 2029.1
Building Gen AI with MongoDB & AI Partners | January 2025
Even for those of us who work in technology, it can be hard to keep track of the awards companies give and receive throughout the year. For example, in the past few months MongoDB has announced both our own awards (such as the William Zola Award for Community Excellence) and awards the company has received—like the AWS Technology Partner of the Year NAMER and two awards from RepVue. And that’s just us! It can be a lot!
Simplify Security At Scale with Resource Policies in MongoDB Atlas
Innovation is the gift that keeps on giving: industries that are more innovative have higher returns, and more innovative industries see higher rates of long-term growth1. No wonder organizations everywhere strive to innovate. But in the pursuit of innovation, organizations can struggle to balance the need for speed and agility with critical security and compliance requirements.
Busting the Top Myths About MongoDB vs Relational Databases
I was talking with a friend of mine recently about deciding between databases for an upcoming project. I asked him his thoughts on MongoDB. He told me that he did not think it would work based on what he knew about it. The only issue was that everything he learned about MongoDB was from 2013. He had not kept up with over a decade of improvements and updates. From talking with other developers this seems to be a pretty common situation. A lot of developers got a first impression of MongoDB in 2012-2014 and made up their minds based on that. In this post, we will dive into some database history and look at how MongoDB compares to relational databases today.
Official Django MongoDB Backend Now Available in Public Preview
We are pleased to announce that the Official Django MongoDB Backend Public Preview is now available. This Python package makes it easier than ever to combine the sensible defaults and fast development speed Django provides with the convenience and ease of MongoDB.
Built With MongoDB: Kraken Coding Revolutionizes Clinical Decision Support
Within the world of healthcare, clinicians often find themselves overwhelmed by the sheer volume of information they must process to provide optimal patient care. Text-based guidelines and procedures, while essential, can be cumbersome and difficult to navigate. Recognizing this challenge, John Shanks, co-founder of Kraken Coding, embarked on a mission to transform the way clinical staff access decision support information through its product, Clinical Branches.
Managing MongoDB's DevOps Tools & SOA Programs
David O’Dowd joined MongoDB in January 2022 as a Technical Program Manager, bringing over 20 years of software delivery experience. At MongoDB, he has experienced significant growth partnering with product and engineering executives to successfully deliver key initiatives across the MongoDB Atlas Engineering portfolio such as the DevOps Tools program and Service-Oriented Architecture (SOA) program. His efforts in establishing the long-term backend engineering vision for Atlas, mentoring team members, building new engineering teams, process improvement, Jira/Slack automation and managing cross-functional programs have propelled his career forward.
Building Gen AI with MongoDB & AI Partners | December 2024
Now that 2024 is behind us, we can see clearly how much change, innovation, and progress there was across the AI landscape in 2024. For MongoDB, the year was particularly marked by collaboration with our AI partners, and by the possibilities that AI collaboration holds; as the saying goes, it takes a village. From the release of breakthrough tools and frameworks, to AI-enriched workflows (for both prototyping and production), together we empowered customers and developers alike to build cutting-edge AI applications.
Building a Unified Data Platform for Gen AI
In today’s digital-first world, data is the lifeblood of innovation and decision-making. Yet, businesses often find themselves constrained by outdated and fragmented systems that fail to meet the demands of a fast-paced, interconnected landscape. Legacy architectures—such as the 1970s-era mainframes still used in industries like banking—create inefficiencies, siloed data, and operational bottlenecks, leaving organizations struggling to deliver timely, actionable insights.
Test Out Search Like Never Before: Introducing Search Demo Builder
MongoDB is excited to announce the availability of Search Demo Builder, the newest addition to the Atlas Search Playground. The Search Demo Builder allows anyone to jump right in and discover the value of MongoDB Atlas Search without first creating an Atlas account.
SonyLIV Improves CMS Performance By 98% On MongoDB Atlas
As one of the world's leading technology and media companies, Sony needs little introduction. Founded in 1954, Sony’s portfolio spans game & network services, music, pictures, entertainment technology & services, imaging & sensing solutions, financial services, and more.
Using Agentic RAG to Transform Retail With MongoDB
In the competitive world of retail and ecommerce, it’s more important than ever for brands to connect with customers in meaningful, personalized ways. Shoppers today expect relevant recommendations, instant support, and unique experiences that feel tailored just for them.
MongoDB Atlas Integration with Ably Unlocks Real-time Capabilities
Enterprises across sectors increasingly realize that data, like time, doesn’t wait. Indeed, harnessing and synchronizing information in real time is the new currency of business agility. Enter the alliance between MongoDB and Ably—a partnership that has led to Ably's new database connector for MongoDB Atlas.
Leveraging BigQuery JSON for Optimized MongoDB Dataflow Pipelines
We're delighted to introduce a major enhancement to our Google Cloud Dataflow templates for MongoDB Atlas. By enabling direct support for JSON data types, users can now seamlessly integrate their MongoDB Atlas data into BigQuery, eliminating the need for complex data transformations.
Commerce at Scale: Zepto Reduces Latency by 40% With MongoDB
Zepto is one of the fastest-growing Indian startups and a pioneer in introducing quick commerce to India. Quick commerce, sometimes referred to as “Q-commerce” is a new, faster form of e-commerce promising ultra-quick deliveries, typically in less than one hour.
Checkpointers and Native Parent Child Retrievers with LangChain and MongoDB
MongoDB and LangChain, the company known for its eponymous large language model (LLM) application framework, are excited to announce new developments in an already strong partnership. Two additional enhancements have just been added to the LangChain codebase, making it easier than ever to build cutting-edge AI solutions with MongoDB.
Building Gen AI with MongoDB & AI Partners | November 2024
Unless you’ve been living under a rock, you know it’s that time of year again—re:Invent season! Last week, I was in Las Vegas for AWS re:Invent, one of our industry’s most important annual conferences. re:Invent 2024 was a whirlwind of keynote speeches, inspirational panels and talks, and myriad ways to spend time with colleagues and partners alike.
Away From the Keyboard: Everton Agner, Staff Software Engineer
We’re back with a new article in our ongoing “Away From the Keyboard” series, featuring in-depth interviews with people at MongoDB, discussing what they do, how they prioritize time away from their work, and approach to coding.
What’s New From MongoDB at AWS re:Invent 2024
As thousands of attendees make their way home after a week in Vegas—a week packed with learning, product launches, and round-the-clock events—we thought we’d reflect on the show’s highlights. MongoDB was excited to showcase our latest integrations and solutions with Amazon Web Services (AWS), which range from new ways to optimize generative AI, to faster, more cost-effective methods for modernizing applications.
New Course for Building AI Applications with MongoDB on AWS
Developers everywhere want to expand the limits of what they can build with new generative AI technologies. But the AI market and its offerings have evolved so quickly that for many developers, keeping up can feel overwhelming.
Influencing Product Strategy at MongoDB with Garaudy Etienne
Garaudy Etienne joined MongoDB as a Product Manager in October of 2019. Since then, he’s experienced tremendous growth. Successful deliveries of MongoDB 4.4 features and MongoDB 5.0 sharding features helped fuel Garaudy’s career development, as did his work establishing a long-term sharding vision, mentoring others, and successfully managing interns. Now, as a Director of Product, he’s defining the strategic direction across multiple products and helping grow our product management organization and culture. Read on to learn more about Garaudy’s experience at MongoDB and his expanding team.
Staff Engineering at MongoDB: Your Path to Making Broad Impact
Andrew Whitaker is a Senior Staff Engineer at MongoDB. His previous experience spans tiny startups to enormous organizations like AWS, where he held several different roles focusing on databases. Before joining MongoDB, he worked at a startup building optimized machine learning models in the cloud. Read on to learn more about why Andrew decided to join MongoDB in a senior-level engineering role and how his work is driving improvement within our engineering organization.
3 Ways MongoDB EA Azure Arc Certification Serves Customers
One reason more than 50,000 customers across industries choose MongoDB is the freedom to run anywhere—across major cloud providers, on-premises in data centers, and in hybrid deployments. This is why MongoDB is always working to meet customers where they are. For example, many customers choose MongoDB Atlas (which is available in more than 115 cloud regions across major cloud providers) for a fully managed experience. Other customers choose MongoDB Enterprise Advanced (EA) to self-manage their database deployments to meet specific on-premises or hybrid requirements.
Accelerating MongoDB Migration to Azure with Microsoft Cloud Accelerate Factory
Migrating MongoDB workloads from on-premises solutions or other cloud platforms to MongoDB Atlas on Azure has never been simpler, thanks to Microsoft’s Cloud Accelerate Factory (CAF). This newly created program is perfect for organizations using MongoDB Enterprise Advanced or Community Edition who are ready to modernize.
MongoDB, Microsoft Team Up to Enhance Copilot in VS Code
As modern applications grow increasingly complex, developers face the challenge of meeting market demands for faster, smarter solutions. To stay ahead, they need tools that streamline their workflows, available directly in the environments where they build. According to the 2024 Stack Overflow Developer Survey, Microsoft’s Visual Studio Code (VS Code) is the integrated development environment (IDE) of choice for 74% of professional developers, serving as a central hub for building, testing, and deploying applications. With the rise of AI-powered tools like GitHub Copilot—which is used by 44% of professional developers—there’s a growing demand for intelligent assistance in the development process without disrupting flow.
Building Gen AI with MongoDB & AI Partners | October 2024
It’s no surprise that AI is a topic of seemingly every professional conversation and meeting nowadays—my friends joke that 11 out of 10 words that come out of my mouth are “gen AI.” But an important question remains: do organizations truly know how to harness AI, or do they simply feel pressured to join the crowd? Are they driven by FOMO more than anything else?
MongoDB Atlas Introduces Enhanced Cost Optimization Tools
MongoDB Atlas was designed with elasticity at its core and has always allowed customers to scale capacity vertically and horizontally, as required and automatically. Today, these inherent capabilities are even better and more cost-effective. At the recent MongoDB.local London, MongoDB announced several new MongoDB Atlas features that improve elasticity and help optimize costs while maintaining the performance and availability that business-critical applications demand. These include scaling each shard independently, extending storage beyond 4 TB or more, and 5X more responsive auto-scaling.
Health-Tech Startup Aktivo Labs Scales Up With MongoDB Atlas
Aktivo Labs, a pioneering health-tech startup based in Singapore, has made significant strides in the fight against chronic diseases. Aktivo Labs develops innovative preventative healthcare technology solutions that encourage healthier lifestyles.
Away From the Keyboard: Rafa Liou, Senior Partner Marketing Manager
Welcome to the latest article in our “Away From the Keyboard” series, which features interviews with people at MongoDB, discussing what they do, how they prioritize time away from their work, and their advice for others looking to create a more holistic approach to coding.
Driving Neurodiversity Awareness and Education at MongoDB
Roughly 20% of the US population is neurodiverse, which means that you likely work with a colleague who learns and navigates the workplace (and the world) differently than you do. Which is a good thing! Studies have shown that hiring neurodiverse individuals benefits workplaces, with Deloitte noting that organizations “can gain a competitive edge from increased diversity in skills, ways of thinking, and approaches to problem-solving.”
Reflections On Our Recent AI "Think-A-Thon"
Interesting ideas are bound to emerge when great minds come together, so there was no shortage of interesting ideas on October 2nd, when MongoDB’s Developer Relations team hosted our second-ever AI Build Together event at MongoDB.local London.
Gamuda Puts AI in Construction with MongoDB Atlas
Gamuda Berhad is a leading Malaysian engineering and construction company with operations across the world, including in Australia, Taiwan, Singapore, Vietnam, the United Kingdom, and more. The company is known for its innovative approach to construction through the use of cutting-edge technology.
Empower Innovation in Insurance with MongoDB and Informatica
For insurance companies, determining the right technology investments can be difficult, especially in today's climate where technology options are abundant but their future is uncertain. As is the case with many large insurers, there is a need to consolidate complex and overlapping technology portfolios. At the same time, insurers want to make strategic, future-proof investments to maximize their IT expenditures.
Built With MongoDB: Buzzy Makes AI Application Development More Accessible
AI adoption rates are sky-high and showing no signs of slowing down. One of the driving forces behind this explosive growth is the increasing popularity of low- and no-code development tools that make this transformative technology more accessible to tech novices. Buzzy, an AI-powered no-code platform that aims to revolutionize how applications are created, is one such company. Buzzy enables anyone to transform an idea into a fully functional, scalable web or mobile application in minutes.
Announcing Hybrid Search Support for LlamaIndex
MongoDB is excited to announce enhancements to our LlamaIndex integration. By combining MongoDB’s robust database capabilities with LlamaIndex’s innovative framework for context-augmented large language models (LLMs), the enhanced MongoDB-LlamaIndex integration unlocks new possibilities for generative AI development.
Strengthen Data Security with MongoDB Queryable Encryption
MongoDB Queryable Encryption is a groundbreaking, industry-first innovation developed by the MongoDB Cryptography Research Group that allows customers to encrypt sensitive application data, store it securely in an encrypted state in the MongoDB database, and perform equality and range queries directly on the encrypted data—with no cryptography expertise required. Adding range query support to Queryable Encryption significantly enhances data retrieval capabilities by enabling more flexible and powerful searches. Queryable Encryption is available in MongoDB Atlas, Enterprise Advanced, and Community Edition.
Unlocking Seamless Data Migrations to MongoDB Atlas with Adiom
As enterprises continue to scale, the need for powerful, seamless data migration tools becomes increasingly important. Adiom, founded by industry veterans with deep expertise in data mobility and distributed systems, is addressing this challenge head-on with its open-source tool, dsync. By focusing on high-stakes, production-level migrations, Adiom has developed a solution that works effortlessly with MongoDB Atlas and makes large-scale migrations to it from NoSQL databases faster, safer, and more predictable.
From Chaos to Control: Real-Time Data Analytics for Airlines
Delays are a significant challenge for the airline industry. They disrupt travel plans, erode customer loyalty, and inflict significant financial losses. In an industry built on precision and punctuality, even minor setbacks can have cascading effects. Whether due to adverse weather conditions or unforeseen technical issues, these delays ripple through flight schedules, affecting both passengers and operations managers. While neither group is typically at fault, the ability to quickly reallocate resources and return to normal operations is crucial.
MongoDB Atlas + PowerSync: The Future of Offline-First Enterprise Apps
Picture this: your field team is miles from the nearest cell tower, but their apps still work flawlessly—tracking assets, updating data, and syncing the moment they're back online. Since even a second of downtime can cost millions, the future of enterprise apps is one where "offline" doesn't mean "out of commission."
Introducing: Multi-Kubernetes Cluster Deployment Support
Resilience and scalability are critical for today's production applications. MongoDB and Kubernetes are both well known for their ability to support those needs to the highest level. TA single Kubernetes cluster is typically limited to a single region, so to better enable developers using MongoDB and Kubernetes, we’ve introduced a series of updates and capabilities that makes it possible to manage MongoDB across multiple Kubernetes clusters. Since those Kubernetes clusters can be located in different regions, this offers new levels of resilience and control over where your data lives. In addition to the previously released support for running MongoDB replica sets and Ops Manager across multiple Kubernetes clusters, we're excited to announce the public preview release of support for Sharded Clusters spanning multiple Kubernetes clusters (GA to follow in November 2024).
Building Gen AI with MongoDB & AI Partners | September 2024
Last week I was in London for MongoDB.local London—the 19th stop of the 2024 MongoDB.local tour—where MongoDB, our customers, and our AI partners came together to share solutions we’ve been building that enable companies to accelerate their AI journey. I love attending these events because they offer an opportunity to celebrate our collective achievements, and because it’s great to meet so many (mainly Zoom) friends in person!
Introducing Two MongoDB Generative AI Learning Badges
Want to boost your resume quickly? MongoDB is introducing two new Learning Badges, Building gen AI Apps and Deploying and Evaluating gen AI Apps. Unlike high-stakes certifications, which cover a large breadth and depth of subjects, these digital credentials are focused on specific topics, making them easier and quicker to earn. Best of all, they’re free!
MongoDB 8.0: Raising the Bar (duplicate)
I recently received an automated reminder that I was approaching a work anniversary, which took me somewhat by surprise. It’s hard to believe that it’s already been a year (to the day) that I joined MongoDB! So I thought I’d take a moment to reflect on my MongoDB journey so far, share some exciting product updates, and signal where we’re headed next.
MongoDB 8.0: Raising the Bar
I recently received an automated reminder that I was approaching a work anniversary, which took me somewhat by surprise. It’s hard to believe that it’s already been a year (to the day) that I joined MongoDB! So I thought I’d take a moment to reflect on my MongoDB journey so far, share some exciting product updates, and signal where we’re headed next.
Revolutionizing Sales with AI: Glyphic AI’s Journey with MongoDB
When connecting with customers, sales teams often struggle to understand and address the unique needs and preferences of each prospect, leading to ineffective pitches. Additionally, time-consuming admin tasks like data entry, sales tool updates, follow-up management, and maintaining personalized interactions across numerous leads can overwhelm teams, leaving less time for impactful selling.
Introducing the New MongoDB Application Delivery Certification
Since we launched our System Integrators Certification Program in 2022, we have certified over 18,000 associates and architects across MongoDB’s various system integrator, advisory, and consulting services partners. This program gives system integrators a solid foundation in MongoDB and the capabilities that enable them to architect modernization projects and modern, AI-enriched applications.
Ahamove Rides Vietnam’s E-commerce Boom with AI on MongoDB
The energy in Vietnam’s cities is frenetic as millions of people navigate the busy streets with determination and purpose. Much of this traffic is driven by e-commerce, with food and parcel deliveries perched on the back of the country’s countless motorcycles or in cars and trucks. In the first quarter of 2024, online spending in Vietnam grew a staggering 79% over the previous year. Explosive growth like this is expected to continue, raising the industry’s value to $32 billion by 2025, with 70% of the country’s 100 million population making e-commerce transactions.
Top Use Cases for Text, Vector, and Hybrid Search
Search is how we discover new things. Whether you’re looking for a pair of new shoes, the latest medical advice, or insights into corporate data, search provides the means to unlock the truth. Search habits—and the accompanying end-user expectations—have evolved along with changes to the search experiences offered by consumer apps like Google and Amazon. The days of the standard of 10 blue links may well be behind us, as new paradigms like vector search and generative AI (gen AI) have upended long-held search norms.
AI Agents, Hybrid Search, and Indexing with LangChain and MongoDB
Since we announced integration with LangChain last year, MongoDB has been building out tooling to help developers create advanced AI applications with LangChain. With recent releases, MongoDB has made it easier to develop agentic AI applications (with a LangGraph integration), perform hybrid search by combining Atlas Search and Atlas Vector Search, and ingest large-scale documents more effectively.
Building Gen AI with MongoDB & AI Partners | August 2024
As the AI landscape continues to evolve, companies, industries, and developers seek tailored solutions to their unique challenges. Gone are the days when general-purpose AI models could be applied universally. Now, organizations are looking for industry-specific applications, verticalized AI solutions, and specialized tools to gain a competitive edge and best serve their customers. And as gen AI use cases have diversified—from healthcare diagnostics and autonomous driving, to personalized recommendations and creative content generation—so has the technology stack supporting them.
Exploring New Security, Billing, and Customization Features in Atlas Charts
MongoDB is excited to announce a few new updates to Atlas Charts that enable you to securely share insights, gain deeper visibility into expenses, and customize your most frequently used data visualizations.
Saving Energy, Smarter: MongoDB and Cedalo for Smart Meter Systems
The global energy landscape is undergoing a significant transformation, with energy consumption rising 2.2% in 2023, surpassing the 2010-2019 average of 1.5% per year. This increase is largely due to global developments in BRICS member countries—Brazil, Russia, India, China, and South Africa.
The Learning Experience: Celebrating a Year of MongoDB Developer Days
One year ago today MongoDB held our first regional Developer Day event, a full-day experience designed to teach the fundamentals and advanced capabilities of MongoDB. Developer Day events have been held in person in over 35 cities, across 16 countries, and in seven languages. Initially created by a core team with a passion for enabling developers, a group of talented MongoDB Developer Advocates and Solution Architects have since scaled the program to directly engage and teach thousands of developers worldwide.
CTF Life Leverages MongoDB Atlas to Deliver Customer-Centric Service
Hong Kong-based Chow Tai Fook Life Insurance Company Limited (CTF Life) is proud of its rich, nearly 40-year history of providing a wide range of insurance and financial planning services. The company provides life, health, accident, savings, and investment insurance to its customers, helping them and their loved ones navigate life’s journey with personalized planning solutions, lifelong protection, and diverse lifestyle experiences.
Elevate Your Java Applications with MongoDB and Spring AI
MongoDB is excited to announce an integration with Spring AI, enhancing MongoDB Atlas Vector Search for Java developers. This collaboration brings Vector Search to Java applications, making it easier to build intelligent, high-performance AI applications.
Better Business Loans with MongoDB and Generative AI
Business loans are a cornerstone of banking operations, providing significant benefits to both financial institutions and broader economies. For example, in 2023 the value of commercial and industrial loans in the United States reached nearly $2.8 trillion. However, these loans can present unique challenges and risks that banks must navigate. Besides credit risk, where the borrower may default, banks also face business risk, in which economic downturns or sector-specific declines can impact borrowers' ability to repay loans.
MongoDB Atlas for Government Supports GCP Assured Workloads
We’re excited to announce that MongoDB Atlas for Government now supports the US regions of Google Cloud Assured Workloads, alongside existing support for AWS GovCloud and AWS US regions. This expansion offers greater flexibility and expanded support for public sector organizations and the independent software vendors (ISVs) that serve them as they modernize applications and migrate workloads to the cloud. Furthermore, MongoDB Atlas for Government is now available for purchase through the Google Cloud Marketplace.
Find Hidden Insights in Vector Databases: Semantic Clustering
Vector databases, a powerful class of databases designed to optimize the storage, processing, and retrieval of large volume, multi-dimensional data, have increasingly been instrumental to generative AI (gen AI) applications, with Forrester predicted a 200% increase in the adoption of vector databases in 2024. But their power extends far beyond these applications. Semantic vector clustering, a technique within vector databases, can unlock hidden knowledge within your organization’s data, democratizing insights across teams. View the tutorial to get started.
Built With MongoDB: Atlas Helps Team-GPT Launch in Two Weeks
Team-GPT enables teams large and small to collaborate on AI projects. When OpenAI released GPT-4, it turned out to be a game-changer for the startup. Founded in 2023, the company has been helping people train machine learning (ML) models, in particular natural language processing (NLP) models. But when OpenAI launched GPT-4 in March 2023, the team was blown away by how much progress had been made on large language models (LLMs).
Atlas Search Nodes: Now with Multi-Region Availability
At MongoDB, we are continually refining our products to try and create the simplest and most seamless developer experience possible. This mantra has also been applicable to how we think about search, from the beginning with Atlas Text Search, to the announcement of the next paradigm with Atlas Vector Search. We have continued to expand this vision with the introduction of Search Nodes, initially launching on AWS, and then expanding to both Google Cloud and Microsoft Azure. Today we’re excited to take the next step in that journey with the announcement of multi-region availability on all three major cloud providers.
Building Gen AI with MongoDB & AI Partners | July 2024
My colleague Richmond Alake recently published an article about the evolution of the AI stack that breaks down the “comprehensive collection of integrated tools, solutions, and components designed to streamline the development and management of AI applications.”
Atlas Stream Processing Adds AWS Regions, VPC Peering, & More!
Since announcing the general availability of Atlas Stream Processing—MongoDB’s native stream processing solution—it’s been exciting to see development teams across technology, retail, and manufacturing begin to run production stream processing workloads critical to their businesses.
How MongoDB Scales CoPilot AI’s Humanized Sales Interactions
In a world where sales and marketing are the engines behind many tech companies’ growth in a highly competitive landscape, it’s more important than ever that those functions find better and fresher ways to implement personalization into campaigns, sales pitches, and everything in between to reach more customers. CoPilot AI has been at the helm of helping businesses do just that through their AI-powered sales enablement tool, automating personalized interactions to achieve revenue growth, all with the help of MongoDB.
Introducing AI-Powered Natural Language Mode in Atlas Charts
At MongoDB, our mission is to empower developers to seamlessly and efficiently build modern applications. To that end, we’ve announced a number of tools and improvements to help developers build faster, from AI-powered SQL query conversion in Relational Migrator to the MongoDB Provider for Entity Core Framework.
Inside MongoDB’s Early Access Programs
In tech, staying ahead of the curve is essential. Tech companies must continually innovate and release new developments to meet the ever-evolving needs of users and global market demands. One successful strategy is the use of Early Access Programs (EAPs) and Preview Features. These initiatives offer unique opportunities for both companies and users, fostering mutually beneficial relationships that drive product excellence. You may have heard them referred to as "Beta Programs," "Pilot Programs," or "Feature Previews," but they all fall under the same category of early user engagement aimed at refining products before general release.
magicpin Builds India's Largest Hyperlocal Retail Platform on MongoDB
Despite its trillion-dollar economy, 90% of retail consumption in India still takes place offline. While online retail in India has grown in recent years, much of it still consists of dark stores (a retail outlet or distribution center that exists exclusively for online shopping) and warehouses, the majority of retail establishments—fashion, food, dining, nightlife, and groceries—thrive as physical stores. What’s more, businesses looking to transition to online models are hindered by major platforms that focus primarily on clicks rather than encouraging transactions.
Technical Services Tools: Embracing Modern Frameworks and Influencing Efficiency
The Technical Services Tools team at MongoDB plays a pivotal role in ensuring efficiency throughout the customer lifecycle. Led by experienced engineers like Jarrod Hinson, the team leverages advanced technologies such as generative AI and modern frameworks like MERN and MEAN to develop tools that enhance security, streamline support processes, and integrate seamlessly into MongoDB's ecosystem. By prioritizing collaboration and innovation, the team not only supports internal stakeholders, but also delivers significant value to MongoDB's customers, setting new standards in technical service excellence.
Teach & Learn with MongoDB: Professor Abdussalam Alawini, University of Illinois at Urbana-Champaign
In this series of interviews, we talk to students and educators around the world who are using MongoDB to make their classes more engaging and relevant. By exploring their stories, we uncover how MongoDB’s innovative platform and resources are transforming educational landscapes and empowering the next generation of tech-savvy professionals.
Building Gen AI with MongoDB & AI Partners | June 2024
Even for those of us who work in AI, keeping up with the latest news in the AI space can be head-spinning. In just the last few weeks, OpenAI introduced their newest model (GPT-4o), Anthropic continued to develop Claude with the launch of Claude 3.5 Sonnet, and Mistral launched Mixtral 8x22B, their most efficient open model to date. And those are only a handful of recent releases!
Elevate Your Python AI Projects with MongoDB and Haystack
MongoDB is excited to announce an integration with Haystack, enhancing MongoDB Atlas Vector Search for Python developers. This integration amplifies our commitment to providing developers with cutting-edge tools for building AI applications centered around semantic search and Large Language Models (LLMs).
Nokia Corteca Scales Wi-Fi Connectivity to Millions of Devices With MongoDB Atlas
Nokia’s home Wi-Fi connectivity cloud platform was launched in 2019 as the Nokia WiFi Cloud Controller (NWCC). In 2023, it was renamed and relaunched as the Corteca Home Controller, becoming part of the Corteca software suite that delivers smarter broadband for a better experience. The Corteca Home Controller can be hosted on Amazon Web Services, Google Cloud, or Microsoft Azure, and is the industry’s first platform to support three management services—device management, Wi-Fi management, and application management. Supporting TR-369 (a standardized remote device management protocol) also allows the Home Controller to work in a multi-vendor environment, managing both Nokia broadband devices and third-party broadband devices.
AI Apps: What the World Sees vs. What Developers See
Imagine you’re in the market for a new home in, say, Atlanta. And you’re on vacation in a different city. You see an amazing-looking house, whose design you love. You open up your favorite real estate app, snap a picture of this house, and type: “Find me a home that looks like this in Atlanta, in my price range, and within my budget, that’s also next to a park.” Seconds later, you’re served a list of homes that not only resemble this one, but match all your other specifications.
MongoDB Atlas Once Again Voted Most Loved Vector Database
The 2024 Retool State of AI report has just been released, and for the second year in a row, MongoDB Atlas was named the most loved vector database. Atlas Vector Search received the highest net promoter score (NPS), a measure of how likely a user is to recommend a solution to their peers.
Exact Nearest Neighbor Vector Search for Precise Retrieval
With its ability to efficiently handle high-dimensional, unstructured data, vector search delivers relevant results even when users don’t know what they’re looking for and uses machine learning models to find similar results across any data type. Rapidly emerging as a key technology for modern applications, vector search empowers developers to build next-generation search and generative AI applications faster and easier.
Unified Namespace Implementation with MongoDB and MaestroHub
In the complex world of modern manufacturing, a crucial challenge has long persisted: how to seamlessly connect the physical realm of industrial control systems with the digital landscape of enterprise operations. The International Society of Automation's ISA-95 standard, often visualized as the automation pyramid, has emerged as a guiding light. As shown below, this five-level hierarchical model empowers manufacturers to bridge the gap between these worlds, unlocking a path toward smarter, more integrated operations.
Announcing MongoDB Server 8.0 Platform Support Improvements
Last month at MongoDB.local NYC 2024, we announced the preview of MDB 8.0, the next evolution of MongoDB’s modern database. With MongoDB 8.0, we’re focused on delivering the unparalleled performance, scalability, and operational resilience necessary to support the creation of next-generation applications.
Helping MongoDB Customers Unlock Potential with Industry Solutions
Gabriela Preiss is a senior manager within Industry Solutions at MongoDB and was instrumental in building out the team in Barcelona. She’s now relocated to Austin, Texas to build a team in Mexico City and continue expanding the Industry Solutions footprint. In this article, Gabriela shares more about Industry Solutions at MongoDB and how they’re making a difference for both customers and our internal go-to-market teams.
Microservices: Realizing the Benefits Without the Complexity
The microservice architecture has emerged as the preferred, modern approach for developers to build and deploy applications on the cloud. It can help you deliver more reliable applications, and address the scale and latency concerns for System Reliability Engineers (SREs) and operations.
AWS Names MongoDB ASEAN Global Software Partner of the Year
I’m thrilled to announce that during the recent AWS Partner Summit in Bangkok, MongoDB was recognized as the ASEAN Global Software Partner of the Year — for the second year in a row. This award highlights MongoDB's focus on driving innovation with AWS, and is a testament to the success of customers in the region building transformative, next-generation applications with MongoDB and AWS.
A New Way to Query: Introducing the Atlas Search Playground
Today, MongoDB is thrilled to announce the launch of a brand new sandbox environment for Atlas Search. The Atlas Search Playground offers developers an unparalleled opportunity to quickly experiment, iterate, and collaborate on search indexes and queries, reducing the operational overhead throughout the entire software development lifecycle.
MongoDB Sales Recognized as a Top 20 Org for Professional Development by RepVue
It’s no secret that investing in your people can lead to incredible outcomes, especially for sales organizations. Companies with engaged employees see increased productivity, more profitability, and higher earnings per share. And because go-to-market (GTM) functions are responsible for more than 40% of revenue at high-growth software companies, driving effectiveness and engagement within GTM teams is paramount.
Driven by Values: One Account Executive’s Journey into Personal and Professional Growth
May is Asian American and Pacific Islander Heritage Month. Hear from Adam, Enterprise Account Executive and member of the MongoDB_API employee resource group, as he shares about his role at MongoDB, the importance of living company values, and how MongoDB has contributed to his personal and professional growth.
What’s New From MongoDB at Microsoft Build 2024
This week, thousands of engineers, database administrators, and developers are gathering in Seattle for Microsoft Build, Microsoft’s annual developer event. In addition to being on site for meetings and learning sessions, MongoDB is excited to showcase our latest innovations for building generative AI apps and more.
Announcing DirectQuery Support for the MongoDB Atlas Connector for Power BI
Last year, we introduced the MongoDB Atlas Power BI Connector, a certified solution that has transformed how businesses gain real-time insights from their MongoDB Atlas data using their familiar Microsoft Power BI interface. Today, we’re excited to announce a significant enhancement to this integration: the introduction of DirectQuery support.
The Developers' Developers: Two Australian Developers Share Their Connections to Customers
The world’s 28 million software developers are writing the foundations of our future, propelling innovation for their organizations through lines of code by creating game-changing new apps. Indeed, the US Bureau of Labor Statistics predicts that between 2022 and 2032, the number of software developers, quality assurance analysts, and testers will grow 24%, “much faster than the average for all occupations.”
Empowering Aspiring Developers in Africa: The MongoDB, MyTechDev Partnership
It's been nearly a year since the announcement of the partnership between MongoDB University and MyTechDev (Dev-Net), marking a significant milestone in empowering African developers with practical coding skills and enterprise technology pathways. This partnership aims to certify 500 people in Nigeria, South Africa, Kenya, and Egypt, aligning with the rising demand for skilled software developers globally.
Building the Next Big Thing Together: Announcing MongoDB’s Partners of the Year
Customers demand leading organizations to innovate, scale, and build modern applications at an unprecedented pace. At MongoDB, tens of thousands of companies in over 100 countries trust us with these critical workloads—the workloads that power their modern and gen AI applications. But MongoDB is hardly working alone. The broad MongoDB Partner Ecosystem is critical to serving customer needs across a number of industries, areas of excellence, and geographies.
MongoDB Provider for Entity Framework Core Now Generally Available
We are pleased to announce that the MongoDB Provider for Entity Framework Core (EF Core) is now generally available. This allows developers using EF Core to build C# and .NET applications with MongoDB and to take advantage of our powerful modern database while continuing to use APIs and design patterns they already know and love.
Building Modern Applications Faster: New Capabilities at MongoDB.local NYC 2024
Today, we kicked off MongoDB.local NYC and unveiled new capabilities across our modern database. The updates and capabilities announced today pave the way for a new era of app modernization and will allow developers to unleash the full potential of transformative technology like AI.
Search PDFs at Scale with MongoDB and Nomic
Data is only valuable if it’s accessible. For example, storing photos, audio files, or PDFs without the ability to extract information from them is like keeping junk in your basement, thinking you might need it someday. The problem is finding what you need to dig through your junk when the day comes.
Building AI with MongoDB: Conversation Intelligence with Observe.AI
What's really happening in your business? The answer to that question lies in the millions of interactions between your customers and your brand. If you could listen in on every one of them, you'd know exactly what was up--and down. You’d also be able to continuously improve customer service by coaching agents when needed. However, the reality is that most companies have visibility in only 2% of their customer interactions. Observe.AI is here to change that. The company is focused on being the fastest way to boost contact center performance with live conversation intelligence.
Building AI With MongoDB: Integrating Vector Search And Cohere to Build Frontier Enterprise Apps
Cohere is the leading enterprise AI platform, building large language models (LLMs) which help businesses unlock the potential of their data. Operating at the frontier of AI, Cohere’s models provide a more intuitive way for users to retrieve, summarize, and generate complex information.
Five Languages, One Goal: A Developer's Path to Certification Mastery
MongoDB Community Creator Markandey Pathak has become a certified developer in five different programming languages: C#, Java, Node.JS, PHP, and Python. Pursuing multiple certifications equips developers with a diverse skill set, making them invaluable team members. Fluency across different programming languages enables them to foster platform-agnostic solutions and promote adaptability, collaboration, and informed decision-making, which are crucial for success in the global tech landscape.
What’s your Developer Persona?
Cool stuff is getting built with MongoDB every day. Behind the scenes are developers, data scientists, and UX designers who use our products in truly innovative ways. We believe developers are doing way more than just writing code and we’ve outlined a few personas we commonly see.
Embracing Neurodiversity During Autism Awareness Month
April is Autism Awareness Month. According to a 2023 study by The Tavistock Institute of Human Relations, nearly half of neurodivergent employees feel impacted by their conditions in the workplace. On top of this, many neurodivergent employees choose to not disclose their conditions due to fear of stigma or reduced career opportunities. It’s safe to say that organizations can do more to create supportive, inclusive, and empowering environments for neurodivergent employees.
Enabling Commerce Innovation with the Power of MongoDB and Google Cloud
Across all industries, business leaders are grappling with economic uncertainty, cost concerns, disruption to supply chains, and pressure to embrace new technologies like generative AI. In this dynamic landscape, having a performant and future-proofed technology foundation is critical to your business’s success.
A Smarter Factory Floor with MongoDB Atlas and Google Cloud's Manufacturing Data Engine
The manufacturing industry is undergoing a transformative shift from traditional to digital, propelled by data-driven insights, intelligent automation, and artificial intelligence. Traditional methods of data collection and analysis are no longer sufficient to keep pace with the demands of today's competitive landscape. This is precisely where Google Cloud’s Manufacturing Data Engine (MDE) and MongoDB Atlas come into play, offering a powerful combination for optimizing your factory floor.
Unleashing Developer Potential–and Managing Costs–with MongoDB Atlas
In today's business landscape, where unpredictability has become the norm, engineering leaders have to balance the dual challenges of managing uncertainty while optimizing IT costs. Indeed, the 2024 MarginPLUS Deloitte survey—which draws on insights from over 300 business leaders—emphasizes a collective pivot towards growth initiatives and cost transformations amidst the fluctuating global economic climate.
MongoDB Announces Support for Punch Cards, Arrakis
MongoDB is excited to announce a groundbreaking expansion of our capabilities. Beginning today, April 1, MongoDB is expanding its support of programming languages like INTERCAL, FORTRAN, and even UNITYPER punch cards, as well as support for ultra-remote regions of the known universe with new subspace, faster-than-light (FTL) data transfer and networking protocols.
Fireworks AI and MongoDB: The Fastest AI Apps with the Best Models, Powered By Your Data
We’re happy to announce that Fireworks AI and MongoDB are now partnering to make innovating with generative AI faster, more efficient, and more secure. Fireworks AI was founded in late 2022 by industry veterans from Meta’s PyTorch team, where they focused on performance optimization, improving the developer experience, and running AI apps at scale.
Building AI With MongoDB: How DevRev is Redefining CRM for Product-Led Growth
OneCRM from DevRev is purpose-built for Software-as-a-Service (SaaS) companies. It brings together previously separate customer relationship management (CRM) suites for product management, support, and software development. Built on a foundation of customizable large language models (LLMs), data engineering, analytics, and MongoDB Atlas, it connects end users, sellers, support, product owners, and developers. OneCRM converges multiple discrete business apps and teams onto a common platform.
Architecting Success as a Woman in Tech
Celia Halenke, Solutions Architect at MongoDB, shares insight into the skills, experiences, and aspirations that shape her MongoDB journey in the dynamic world of technology. Plus, learn about her advice for teams wanting to build more inclusive environments for women in tech sales.
AI-powered SQL Query Converter Tool is Now Available in Relational Migrator
When I traveled to Japan for the first time it was shortly after translation apps on smartphones had really taken off. Even though I knew enough phrases to get by as a tourist I was amazed at how empowered I was by being able to have smoother conversations and read signs more easily. The power of AI helped me understand a language I had only a passing familiarity with and drastically improved my experience in another country. I was able to spend more time enjoying myself and spend less time looking up common words and sentences in a phrase book. So what does this have to do with application modernization?
Introducing Semantic Caching and a Dedicated MongoDB LangChain Package for Gen AI Apps
We are in an unprecedented time in history where developers can build transformative AI applications quickly, without being AI experts themselves. This ability is enabling new classes of applications that can better serve customers with conversational AI for assistance and automation, advanced reasoning and analysis using AI-powered retrieval, and recommendation systems.
Announcing Search Index Management in MongoDB Compass
You can now create and manage Atlas Search and Atlas Vector Search indexes on the interface many of you know and love: MongoDB Compass. Seamlessly build full-text and semantic search applications on top of your Atlas database, delivering swift and relevant results for a range of use cases including e-commerce sites, customer support chatbots, recommendation systems, and more.
Building AI With MongoDB: How GoBots AI for E-commerce Increases Retailer Sales Conversion by 40%
Major retail brands have long been using various forms of AI, for example statistical analysis and machine learning models, to better serve their customers. But with its high barriers to entry, one key channel has been slower to embrace the technology. By connecting large and small brands with customers, e-commerce marketplaces such as Amazon, Mercado Libre, and Shopify are among the fastest growing retail routes to market. Since 2016, GoBots has been working to extend the benefits of AI to any retailer on any marketplace. It uses AI, analytics, and MongoDB Atlas to make e-commerce easier, more convenient, and smarter for brands serving Latin America.
They Asked, We Answered: A Q&A on Joining MongoDB’s Remote Solutions Center
Our Remote Solutions Center (RSC) team offers those with technical backgrounds interested in working with customers an opportunity to jumpstart a career in pre-sales. We asked Soheyl Rafi, Solutions Architect and former Remote Solutions Center team member, some common questions candidates have about joining the team.
Building AI with MongoDB: Accelerating App Development With the Codeium AI Toolkit
Of the many use cases set to be transformed by generative AI (gen AI), the bleeding edge of this revolution is underway with software development. Developers are using gen AI to improve productivity by writing higher-quality code faster. Tasks include autocompleting code, writing docs, generating tests, and answering natural language queries across a code base. How does this translate to adoption? A recent survey showed 44% of new code being committed was written by an AI code assistant.
Should I Begin a Pre-Sales Career at MongoDB? Insights from Our Remote Solutions Center
Do you have a technical background and enjoy working with customers? Have you considered beginning a career in pre-sales? Aicha Sarr, Solutions Architect at MongoDB, shares insights into how our Remote Solutions Center offers a path to building a career in pre-sales. Read on to learn more about how our Remote Solutions Center team builds off of each other’s strengths, applies their technical expertise, and focuses on customer success.
Together AI: Advancing the Frontier of AI With Open Source Embeddings, Inference, and MongoDB Atlas
Founded in San Francisco in 2022, Together AI is on a mission to create the fastest cloud platform for building and running generative AI (gen AI). The company has so far raised over $120 million, counting Nvidia, Kleiner Perkins, Lux, and NEA as investors.
Enhanced Atlas Functionality: Introducing Resource Tagging for Projects
We are thrilled to announce that Atlas has now extended its tagging functionality to include projects in addition to deployments. This enhancement enables users to apply resource tags to projects, further enriching the way you can associate metadata with your cloud resources. With this new capability, categorizing, organizing, and tracking your projects within Atlas becomes more intuitive and effective, offering a streamlined approach to managing your resources.
Building AI with MongoDB: Putting Jina AI’s Breakthrough Open Source Embedding Model To Work
Founded in 2020 and based in Berlin, Germany, Jina AI has swiftly risen as a leader in multimodal AI, focusing on prompt engineering and embedding models. With its commitment to open-source and open research, Jina AI is bridging the gap between advanced AI theory and the real world AI-powered applications being built by developers and data scientists. Over 400,000 users are registered to use the Jina AI platform.
Building AI with MongoDB: Navigating the Path From Predictive to Generative AI
It should come as no surprise that the organizations unlocking the largest benefits from generative AI (gen AI) today have already been using predictive AI (a.k.a. classic, traditional, or analytical AI). McKinsey made this same observation back in June 2023 with its “Economic Potential of Generative AI1” research.
Building AI with MongoDB: How Flagler Health's AI-Powered Journey is Revolutionizing Patient Care
Flagler Health is dedicated to supporting patients with chronic diseases by matching them with the right physician for the right care. Typically, patients grappling with severe pain conditions face limited options, often relying on prolonged opioid use or exploring costly and invasive surgical interventions. Unfortunately, the latter approach is not only expensive but also has a long recovery period. Flagler finds these patients and triages them to the appropriate specialist for an advanced and comprehensive evaluation.
DocsGPT: Migrating One of the Industry’s Most Popular Open Source AI Assistants to Atlas Vector Search
Since its founding in 2019, Arc53 has focused on building predictive AI/ML solutions for its clients, with use cases ranging from recommendation engines to fraud detection. But it was with OpenAI’s launch of ChatGPT in November 2022 that the company saw AI rapidly take a new direction.
MongoDB Enterprise Advanced in Google Distributed Cloud Hosted
Today, we’re excited to strengthen our "run anywhere" approach and deepen our relationship with Google Cloud by announcing that MongoDB Enterprise Advanced is now available for use within Google Distributed Cloud Hosted (GDC Hosted).
Building AI with MongoDB: How Patronus Automates LLM Evaluation to Boost Confidence in GenAI
It is hardly headline news that large language models can be unreliable. For some use cases, this can be inconvenient. For others — especially in regulated industries — the consequences are way more severe. Enter Patronus AI, the industry-first automated evaluation platform for LLMs.
Smooth Cloud Experience Delivers Data Dividends for iReader
iReader Technology is one of the world’s leading digital reading platforms, providing users with a high-quality mobile reading experience. The company has launched a series of products of diversified content, such as iReader Ebooks, iReader Comics, iReader Magazine, etc.
Pledging Ourselves to the Future
As MongoDB’s sustainability manager, you could say I think about the climate a lot. After all, doing so is my job. But because it’s January and a time of reflection, I’ve been thinking about climate change more than usual — particularly about the progress we’ve made, but also the work that remains to be done.
MongoDB Security Incident Post Event Summary, January 23, 2024
MongoDB first informed customers in an alert posted on December 16, 2023 at 3:00pm EST that it was actively investigating a security incident involving unauthorized access to certain MongoDB corporate systems, which included exposure of customer account metadata and contact information. MongoDB posted updated information on www.mongodb.com/alerts as we continued to investigate the matter, notifying customers that our investigation was complete and closed in a post on January 3, 2024 at 5:00pm EST.
Building AI with MongoDB: How Devnagri Brings the Internet to 1.3 Billion People with Machine Translations
It was while on a trip to Japan that Himanshu Sharma — later to become CEO of Devnagri — made an observation that drew parallels with his native India. Despite the majority of Japan’s population not speaking English, they were still well served by an internet that was largely based on the English language. Key to doing this was translation, and specifically the early days of automated machine translation. And so the idea to found Devnagri, India’s first AI-powered translation platform, was born.
Evolve Your Data Models as You Modernize with Hackolade and Relational Migrator
Application modernization has always been a constant. For many developers and database administrators, the realization that their legacy relational databases that have served their apps well to this point are no longer as easy and fast to work with has become glaringly apparent as they strive to incorporate emerging use cases like generative AI, search, and edge devices into their customer experience at an increasing rate.
Collaboration for Breakfast: MongoDB and Partners Share AI Insights at AWS re:Invent
I’m old enough to remember when every tech conversation didn’t include the term “AI.” Hardly a day goes by without some mention of AI or generative AI (gen AI). But don’t just take my word for it: Google News search results for the phrase, “generative AI” have grown more than 2000% since ChatGPT was launched in November 2022.
10,000 SI Certifications and Counting: MongoDB and System Integrator Partners Reach Major Milestone Supporting GenAI Initiatives
Today, tens of thousands of customers trust MongoDB with their businesses’ most critical workloads, while MongoDB’s system integrator (SI) partner technologies and services play a critical role in their ability to innovate. Customers rely on global and regional SIs to help get the most out of MongoDB and quickly build sophisticated applications.
A Discussion with VISO TRUST: Expanding Atlas Vector Search to Provide Better-Informed Risk Decisions
We recently caught up with the team at VISO TRUST to check in and learn more about their use of MongoDB and their evolving search needs (if you missed our first story, read more about VISO TRUST’s AI use cases with MongoDB on our first blog).
MongoDB Named a Leader in the 2023 Gartner® Magic Quadrant™ for Cloud Database Management Systems
MongoDB is proud to be named a Leader in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems (CDBMS). We believe this makes MongoDB the only dedicated application database provider recognized as a Leader for two years running.
Introducing the Full Stack FastAPI App Generator for Python Developers
We are thrilled to announce the release of the Full Stack FastAPI, React, MongoDB (FARM) base application generator, coinciding with FastAPI's emerging status as a leading modern Python framework. Known for its high performance and ease of use, FastAPI is quickly becoming a top choice for Python developers. This launch is a significant advancement for Python developers eager to build and maintain progressive web applications using the powerful combination of FastAPI and MongoDB.
Leveraging MongoDB Atlas in your Internal Developer Platform (IDP)
DevOps, a portmanteau of “Developer” and “Operations,” rose to prominence around the early 2010s and established a culture of incorporating automated processes and tools designed to deliver applications and services to users faster than the traditional software development process. A significant part of that was the movement to "shift left" by empowering developers to self-serve their infrastructure needs, in theory offering them more control over the application development lifecycle in a way that reduced the dependency on central operational teams.
MongoDB Design Reviews Help Customers Achieve Transformative Results
The pressure to deliver flawless software can weigh heavily on developers' minds and cause teams to second-guess their processes. While no amount of preparation can guarantee success, we've found that a design review conducted by members of the MongoDB Developer Relations team can go a long way in ensuring best practices have been followed and that optimizations are in place to help the team deliver confidently. Design reviews are hour-long sessions where we partner with our customers to help them fine-tune their data models for specific projects or use cases. They serve to give our customers a jump start in the early stages of application design when the development team is new to MongoDB and trying to understand how best to model their data to achieve their goals. A design review is a valuable enablement session that leverages the development team’s own workload as a case study to illustrate performant and efficient MongoDB design. We also help customers explore the art of the possible and put them on the right path toward achieving their desired outcomes. When participants leave these sessions, they carry the knowledge and confidence to evolve their designs independently.
Powering Vector Search Maturity in Retail with Pureinsights
In a competitive retail market, with customer demands higher than ever, retailers are on a constant journey toward search maturity. With the recent announcement of MongoDB’s Vector Search offering, retailers are implementing smarter search solutions to provide customers and staff with delightful experiences. Here we’ll explore how partners like Pureinsights are helping retailers to understand what true search maturity entails, and how to start their vector search journey on MongoDB Atlas.
Data Governance for Building Generative AI Applications with MongoDB
Generative AI (GenAI) has been evolving at a rapid pace. With the introduction of OpenAI’s ChatGPT powered by GPT-3.5 reaching 100 million monthly active users in just two months, other major large language models (LLMs) have followed in ChatGPT's footsteps. Cohere’s LLM supports more than 100 languages and is now available on their AI platform, Google’s Med-PaLM was designed to provide high-quality answers to medical questions, OpenAI introduced GPT-4 (a 40% improvement over GPT-3.5), Microsoft integrated GPT-4 within its Office 365 suite, and Amazon introduced Bedrock, a fully managed service that makes foundation models available via API. These are just a few advancements in the Generative AI market, and a lot of enterprises and startups are adopting AI tools to solve their specific use cases. The developer community and open-source models are also growing as companies adapt to the new technology paradigm shift in the market.
Navigating the Indian Tech Landscape: MongoDB's Path to Success
As the Area Vice President of Sales for MongoDB in India, Sachin Chawla is at the forefront of a thriving market. In this article, he sheds light on MongoDB's strategy, challenges, and future opportunities in India.
Samsung Knox and MongoDB Join Forces to Secure the Future of Mobile Devices
In today's fast-paced and ever-evolving digital landscape, the need for robust and comprehensive security solutions has never been more important. Launched in 2013, Samsung Knox—the mobile device security platform from Samsung Electronics Mobile Experience (MX)— has set the standard for protecting business and enterprise devices, providing an unparalleled level of control from the application level down to the hardware.
How Canara HSBC Life Insurance Optimized Costs and Claims Processing with MongoDB
Since 2008, Canara HSBC Life Insurance has focused relentlessly on bringing a fresh perspective to an industry known more for stability and conservatism rather than innovation. Since its inception in 2008 as a joint venture between Canara Bank and HSBC Insurance, Canara HSBC Life Insurance has strived to differentiate itself from the competition through enhanced customer interactions, launching cutting-edge digital products, and integrating digital services that cater to the evolving needs of customers.
MongoDB Doubles Down on Aotearoa as Part of Continued APAC Expansion
MongoDB is expanding its business in New Zealand to help Kiwi organisations build modern applications and take advantage of the AI opportunity that exists today. With hundreds of customers already in Aotearoa, including Pathfinder, Rapido, and Tourism Holdings, we're continuing to hire and invest to continue to grow our community in the country.
India: A Cornerstone of Growth for MongoDB Technical Services
India has emerged as a cornerstone in our MongoDB Technical Services growth story, marked by the team’s 100% growth in just two years. Bengaluru has been at the forefront of our expansion, witnessing an incredible increase in personnel and the addition of new teams and functions to support our modern database. This highlights Bengaluru’s emerging role in providing critical technical assistance to our customers and partners.
Building AI with MongoDB: Retrieval-Augmented Generation (RAG) Puts Power in Developers’ Hands
As recently as 12 months ago, any mention of retrieval-augmented generation (RAG) would have left most of us confused. However, with the explosion of generative AI, the RAG architectural pattern has now firmly established itself in the enterprise landscape.
You Asked, We Listened. It's Here - Dark Mode for Atlas is Now Available in Public Preview
We are thrilled to announce a much-anticipated feature for MongoDB Atlas. Dark mode is now available in Public Preview for users worldwide. Dark mode has been the number one requested feature in MongoDB's feedback forum, and we've taken note. Users have tried browser plugins and other makeshift fixes, but now the wait is over. Our development team diligently worked to introduce a dark mode option, improving user experience with a new and refreshing perspective to the familiar interface of Atlas. This update—which includes 300 converted pages—is not just for our community. It also benefits us as developers, promoting a seamless dark mode experience across different tools in the developer workflow.
Perfect Your CI/CD Pipelines with MongoDB's New GitHub Action and Docker Image for the Atlas CLI
Do you use GitHub Actions for your CI/CD workflows? Or build using Docker containers? If so, you’ll probably be excited to hear that MongoDB has released: 1. An official GitHub Action and 2. A dedicated Docker image for the Atlas CLI. Together, these two releases make it easier than ever to develop applications with MongoDB Atlas.
Kathreftis Launches World-Class Identity Access Management with Cymmetri
Security breaches and cyberattacks are more prevalent than ever. These attacks are often targeted at an organization's identity access management systems, with over 60% of cyber threats stemming from identity-based vulnerabilities. To address this critical issue, Kathreftis, an Indian startup, emerged in 2022 with a mission to create a world-class identity access management platform. At the heart of the venture lies the company's flagship product, Cymmetri, a comprehensive solution for identity access management and governance.
MongoDB is Changing the Way We Hire Veterans: Learn How
One of our core company values at MongoDB is “Embrace the Power of Differences” which means that we commit to creating a culture of inclusivity with employees from different backgrounds and experiences. We value a diverse workforce as a way to broaden our perspectives, foster innovation, and enable competitive advantages. Our employee resource groups (ERGs) support our larger commitment to a diverse and inclusive community and empower our employees to create an internal network that they are passionate about.
Building AI with MongoDB: Giving Your Apps a Voice
In previous posts in this series, we covered how generative AI and MongoDB are being used to unlock value from data of any modality and in supercharging communications. Put those topics together, and we can start to harness the most powerful communications medium (arguably!) of them all: Voice.
Introducing a New Way to Explore, Discover, and Get Started with the Right MongoDB Partner
At MongoDB, our partners have always been an integral part of our growth and success, so it is especially important to harness the power of our global partner ecosystem to connect customers to innovative technology and services. Working alongside our partners, MongoDB Atlas, the leading multi-cloud modern database, is accelerating and simplifying building with data. Together, we enable developers to quickly build with the capabilities, performance, and scale generative AI applications required to drive business value.
Every Operational Data Layer (ODL) Can Benefit From Search
In today's digital landscape, organizations frequently encounter the daunting challenge of managing complex data architectures. Multiple systems, diverse technologies, and a variety of programming languages become entwined, making smooth operations a significant struggle. A frequent example of this issue is seen in some major banks still relying on a banking system built in the 1970s, continuing to run on a mainframe with minimal updates. The consequence is a complex architecture as seen in Figure 1, where data is scattered across various systems, creating inefficiencies and hindering seamless operations.
MongoDB Hosts First-Ever Events in ASEAN - Empowering Developers to Create, Transform, and Disrupt Industries
ASEAN countries present huge opportunities for businesses, with four of the top 10 economies by GDP in Asia Pacific belonging to the ASEAN region. In addition, IDC expects big data and analytics spending to grow by almost 20% from 2022 to reach $42.2 billion in 2023 in Asia Pacific. As more businesses invest in data, database management becomes critical to making smarter and more informed decisions.
Apono Streamlines Data Access with MongoDB Atlas
In today's world of ever-evolving cloud technology, many organizations are struggling to effectively manage data access. From companies that have no access policies in place and allow anyone to access any data, to those that have an existing solution but it's only on-premises, there's a desperate need for cloud-based access management.
New Regulations Set to Snare Data-Handlers into Compliance
Now that the General Data Protection Regulation (GDPR) has become more firmly entrenched in the EU, several states in the U.S. are introducing similar data governance measures that will impose extra obligations on businesses that handle consumer data in those jurisdictions. California, Colorado, Connecticut, Utah, and Virginia all have new or amended data consumer privacy laws that have already gone into effect or are expected to by year's end.
Designing MongoDB Schemas for Large SQL Migrations
Unlike relational databases, MongoDB provides significant flexibility in designing schemas. MongoDB schema design should take into consideration both the relationship between the data elements and the data access patterns to evolve the most optimal schema for a workload. Designing the right schema for MongoDB is vital to getting the best cost-performance ratio for our workloads, and a bad schema design can massively impact application performance.
Building AI with MongoDB: Supercharging Three Communication Paradigms
Communication mediums are core to who we are as humans, from understanding each other to creating bonds and a shared purpose. The methods of communication have evolved over thousands of years, from cave drawings and scriptures to now being able to connect with anyone at any time via internet-enabled devices. The latest paradigm shift to supercharge communication is through the use and application of natural language processing and artificial intelligence.
Ways to Integrate MongoDB Atlas in Your DevOps Processes
MongoDB Atlas - the industry-leading modern database integrates all of the data services you need to build modern applications in a unified developer experience. We want to meet you where you are and offer various ways to begin with Atlas and make the most of its features. Starting with the Atlas User Interface is a good initial step. Now what if your requirement is to automate the deployment of Atlas clusters at scale, and by leveraging tools that are already integral to your application ecosystem? Through this blog, we will address this question.
AI, Vectors, and the Future of Claims Processing: Why Insurance Needs to Understand The Power of Vector Databases
We’re just under a year since OpenAI released ChatGPT, unleashing a wave of hype, investment, and media frenzy around the potential of generative AI to transform how we do business and interact with the world. But while the majority of the investment dollars and media attention zeroed in on the disruptive capabilities of large language models (LLMs), there’s a crucial component underpinning this breakthrough technology that hasn’t received the attention it deserves; the humble vector database.
Welcoming the Grainite Team to MongoDB: Accelerating Atlas Stream Processing
Tens of thousands of customers and millions of developers rely on MongoDB Atlas to run business-critical applications because of its flexible document data model and ability to work with virtually any type of data using a single, intuitive modern database that can run on all major cloud providers. Earlier this year, we announced that we would enable developers to apply the benefits of the document model and a unified interface to streaming data with Atlas Stream Processing. In a short amount of time, we have seen a strong response from developers eager to use this capability to simplify building event-driven applications.
Building a Culture of Growth: SVP Simon Eid on MongoDB's Massive Opportunity in APAC
Simon Eid is Senior Vice President Asia-Pacific (APAC) at MongoDB and leads the sales teams across Australia and New Zealand, India, ASEAN, and Japan. Simon's go-to-market organisation in APAC is growing rapidly and has nearly tripled in size in the past three years. They are hiring in all regions. In this article, Simon discusses MongoDB’s opportunity in APAC and how he builds a culture of growth and accountability.
Congratulations 2023 EMEA MongoDB Innovation Award Winners
Throughout 2023, MongoDB has recognized the exceptional successes our APAC and North America customers realize when they build with MongoDB Atlas. Today, we are pleased to announce the recipients of the 2023 EMEA MongoDB Innovation Awards. These customers join a premiere group of organizations that have been recognized for boldly exploring the power of data and harnessing it to build the applications of tomorrow.
Being Latine in Tech: Two MongoDB Employees Share Their Advice on Building Careers in Engineering
Ashley Naranjo and Martin Bajana, members of MongoDB’s employee resource group QueLatine, share their career journeys and offer insight into how other members of the Latine community can build careers in tech.
View and Analyze Your Monthly MongoDB Atlas Usage with Cost Explorer
In today's macroeconomic climate, knowing where your money's going is a big deal. From optimizing costs to boosting efficiency, understanding your software expenses can be a total game-changer for your business. That’s why we’re excited to announce the release of Cost Explorer in MongoDB Atlas.
Building AI with MongoDB: Unlocking Value from Multimodal Data
One of the most powerful capabilities of AI is its ability to learn, interpret, and create from input data of any shape and modality. This could be structured records stored in a database to unstructured text, computer code, video, images, and audio streams.
Resource Tags in Billing Invoices Now Generally Available
In June, we announced MongoDB’s Atlas new resource tagging capability - built to provide a simple and easy way to organize and manage database deployments at scale. Today, we are pleased to announce the availability of these tags in billing invoice CSVs and Admin API operations.
The Challenges and Opportunities of Processing Streaming Data
Let’s consider a fictitious bank that has a credit card offering for its customers. Transactional data might land in their database from various sources such as a REST API call from a web application or from a serverless function call made by a cash machine. Regardless of how the data was written to the database, the database performed its job and made the data available for querying by the end-user or application. The mechanics are database-specific but the end goal of all databases is the same. Once data is in a database the bank can query and obtain business value from this data. In the beginning, their architecture worked well, but over time customer usage grew and the bank found it difficult to manage the volume of transactions. The company decides to do what many customers in this scenario do and adopts an event-streaming platform like Apache Kafka to queue these event data. Kafka provides a highly scalable event streaming platform capable of managing large data volumes without putting debilitating pressure on traditional databases. With this new design, the bank could now scale supporting more customers and product offerings.
Building AI with MongoDB: From Compliance to Copilots
There has been a lot of recent reporting on the desire to regulate AI. But very little has been made of how AI itself can assist with regulatory compliance. In our latest round-up of qualifiers for the MongoDB AI Innovators Program, we feature a company who are doing just that in one of the world’s most heavily regulated industries.
Boosting Performance and Insights with MongoDB Atlas and New Relic
In order to keep up with the demands of the modern business landscape, organizations must prioritize monitoring and optimizing application performance. Today, we're excited to announce a powerful collaboration between MongoDB Atlas, the leading database-as-a-service platform, and New Relic, the renowned monitoring and observability solution. This integration enables users to seamlessly monitor, analyze, and optimize their MongoDB deployments with efficiency and ease.
Powerful Generative AI Innovation Accelerates Discovery of New Molecules
Since 2018, MongoDB and Google Cloud have collaborated to revolutionize the way companies interact with their data, providing an unrivaled experience in Google Cloud regions around the world through a strategic partnership. By delivering MongoDB's popular modern database and deep integrations with Google's data cloud to customers, the two companies are empowering businesses to create applications at scale with unprecedented data richness, all available through the Google Cloud Marketplace. This strategic partnership is bearing fruit. In the chemical industry, for example, users are now combining AI and data mining techniques using MongoDB Atlas with Google Clouds Foundation Models to accelerate the discovery of new molecules and make the process more environmentally friendly.
Improving the Node.js Driver’s SCRAM-SHA-256 Support
MongoDB always strives to offer best-in-class features, functionality, and security. A number of authentication mechanisms currently exist to verify the identity of a connecting client to your cluster, and when using the Salted Challenge Response Authentication Mechanism (SCRAM) there are two possible hashing functions: SCRAM-SHA-1 and SCRAM-SHA-256.
How to Enhance Inventory Management with Real-Time Data Strategies
In the competitive retail landscape, having the right stock in the right place at the right time is crucial. However, the retail industry faces significant challenges in achieving this goal. In 2022, unsold stock in the US surged by a staggering $78 billion, reaching approximately $740 billion—a shocking 12 percent increase.
Understanding the Costs of Serverless Architecture: Will it Save You Money?
As the digital landscape evolves, developers are constantly on the lookout for innovative ways to optimize their applications and deliver seamless user experiences. One approach that has gained popularity over the years is serverless architecture. By abstracting away server management and scaling concerns, serverless promises increased development efficiency, reduced operational overhead, and potential cost savings.
Cloud Strides at MongoDB.local Auckland
MongoDB.local Auckland was held earlier this week, and from the testimonies shared by our customers and partners to the announcements made by our global executives one thing is clear: there’s never been a greater need for strong cloud strategies to support data-driven businesses.
Building AI with MongoDB: Announcing the First Qualifiers for the Innovators Program
Artificial Intelligence is igniting so many brilliant ideas for new products and services. But turning those ideas into reality is a path that even the brightest minds struggle to navigate without some help along the way. That’s why we launched the MongoDB AI Innovators Program back in June this year. Access to expert technical advice, free MongoDB Atlas credits, co-marketing opportunities, and – for eligible startups, introductions to potential venture investors – come together to help you “build the next big thing” in AI.
MongoDB Announces Queryable Encryption with Equality Query Type Support
The general availability of Queryable Encryption offers end-to-end encryption of sensitive data while preserving the ability to run equality queries on that encrypted data, helping customers meet the strictest data privacy requirements. This technology allows developers to query encrypted sensitive data in a simple, intuitive way. We are releasing the equality query type with the 7.0 release and in future releases will add support to the range, prefix, suffix, and substring query types.
The MongoDB for VS Code Extension Is Now Generally Available
As of today, the MongoDB for VS Code Extension has been downloaded one million times! A huge thank you to all the developers who build with MongoDB and VS Code. We look forward to working with you to continue to improve the extension. Two million downloads, here we come!
Three Most Common Developer Skill Gaps Impacting Your Business
When we survey IT leaders about what's holding them back from adopting modern data platforms like MongoDB, skill gaps are a commonly cited top reason. And from our experience, most teams don't even realize that these skill gaps exist in the first place.
Introducing the Aggregation Stage Wizard in MongoDB Compass
Have you ever wanted to create an aggregation but not known where to start? We’ve got a solution for you! MongoDB just released a new feature that can help as part of our powerful aggregation experience in Compass. Starting in version 1.38, Compass’ new Aggregation Stage Wizard will help you jumpstart aggregation development by allowing you to craft aggregation stages based on your use case.
Exploring Chart Types in MongoDB Atlas Charts
As you begin your chart building journey, you’ll find there are many ways for you to visualize your data in Atlas Charts. Specific data visualization needs vary by team, and we have a growing collection of chart types with various and specific purposes to help you discover insights and communicate effectively.
Real-Time Inventory Tracking with Computer Vision & MongoDB Atlas
In today’s rapidly evolving manufacturing landscape, digital twins of factory processes have emerged as a game-changing technology. But why are they so important? Digital twins serve as virtual replicas of physical manufacturing processes, allowing organizations to simulate and analyze their operations in a virtual environment. By incorporating artificial intelligence and machine learning, organizations can interpret and classify objects, leading to cost reductions, faster throughput speeds, and improved quality levels. Real-time data, especially inventory information, plays a crucial role in these virtual factories, providing up-to-the-minute insights for accurate simulations and dynamic adjustments.
Serving as the Digital Bridge: Meet the APIx Team at MongoDB
Meet MongoDB’s API Experience (APIx) team, the innovative group that connects our customers with our products. Their work is no small task; they operate at the intersection of technology and customer experience, ensuring that the product and user experience remains integrated, efficient, and effective. Keep reading to learn how APIx is making an impact and what it means to be part of this growing team.
Ambee's AI Environmental Data Revolution: Powered by MongoDB Atlas
Ambee, a fast-growing climate tech start-up based in India, is making waves in the world of environmental data with its mission to create a sustainable future. With over 1 million daily active users, Ambee provides proprietary climate and environmental data-as-a-service to empower governments, healthcare organizations, and private companies to make informed decisions about their policies and business strategies. Their comprehensive data encompasses emissions, pollen levels, air quality, soil conditions, and more, all crucial for driving climate action while positively impacting businesses’ bottom lines.
Tata Digital Harmonizes a Variety of Data, Powered by MongoDB Atlas
Tata Digital was founded in March 2019 as the newest company under India’s Tata Group. Tata Digital is the business’s digital backbone and unites all its consumer companies under one umbrella offering consumers a One Tata experience.
News from MongoDB.local NYC
After a triumphant return to live events with a three-day blowout in 2022, we decided to spread the love in 2023 with a series of smaller MongoDB.local events hosted in cities all over the world. On June 22, we held our first big event in New York's Javits Center. And, since it's New York City after all, it seemed like a good time to break some news.
Real-Time Energy Monitoring for Smart Buildings with MongoDB and HiveMQ
The Internet of Things (IoT) has ushered in a new era of energy efficiency, enabling the deployment of energy-efficient sensors for energy conservation and resource utilization. With over 1.5 billion connected IoT devices already installed in commercial smart buildings in 2022 and a projected surge to 3.25 billion devices by 2028, the volume of data generated is staggering. To put it in perspective, an average home in 2020 would generate approximately 4.7 terabytes of data annually. However, managing and harnessing this immense amount of real-time streaming data poses a significant challenge for developers. In smart buildings, where a multitude of IoT sensors continuously gather event streaming data, developers often grapple with integrating disparate technologies and investing significant time into data streaming integration.
MongoDB Partners with NCS to Drive Transformation for ASEAN Businesses and Build Innovative AI Tools
MongoDB, the modern database, has partnered with NCS, the market leader in IT services in Singapore and Southeast Asia*, to help drive digital transformation for some of APAC's largest enterprises. NCS's team has also used MongoDB Atlas to build an ultra-accurate and ultra-fast speech recognition tool.
Operating at Scale Using Resource Tags
We are excited to introduce MongoDB Atlas' new resource tagging functionality. You can now organize and manage Atlas resources with improved efficiency by applying tags to categorize database deployments based on your business needs. In turn, you are empowered to better work with various tools and integrations within your technology stack in order to analyze costs, monitor resource consumption, and automate workflows at scale.
Impactive Makes ESG Integration and Stewardship Reporting Easier for Investment Firms
Driven by regulations and high demand from asset owners, environmental, social and corporate governance (ESG) performance is now a critical factor in almost every aspect of asset management. But the reporting and management of complex ESG activities is challenging to implement because of the rigidity of legacy data architectures. Investment managers need to be able to seamlessly integrate ESG data, actively engage with portfolio companies on material sustainability issues, and deliver comprehensive reporting and disclosures with increasing accuracy. Legacy silos prevent this from happening. Without a process for managing and sharing data between stakeholders, efficiency is compromised and transparency becomes elusive.
Leveraging MongoDB to Build Cutting-Edge AI Solutions
Generative AI is captivating businesses and experts as the technology landscape rapidly evolves, paving the way for groundbreaking advancements in fields such as natural language processing, and strategic business problem-solving. AI foundation models like GPT-4 are expected to transform work dynamics, potentially impacting 40% of working hours. The extraordinary promise of AI has not gone unnoticed, as investors show significant interest in companies engaging in this cutting-edge technology.
Bendigo and Adelaide Bank Reflects on Their Successful Digital Transformation with MongoDB Atlas
Bendigo and Adelaide Bank is one of Australia’s largest banks, with around 7,000 employees and more than 2.2 million customers. The bank has been on a multi-year journey of transformation using MongoDB Atlas to improve efficiency and deliver a better customer experience.
MongoDB Server-Side Kotlin Driver Now Generally Available
Kotlin is a language that has surged in popularity since it was first released in 2016. Developed at JetBrains, Kotlin is a cross-platform statically typed programming language that targets the JVM and interoperates with Java. Here at MongoDB, we are always looking for ways to enable developers from a broad range of programming language communities to have a great experience building with our products. To that end, we are delighted to announce that the official MongoDB server-side Kotlin driver is now generally available.
Congratulations to the 2023 North America Innovation Award Winners
We are delighted to announce this year’s recipients of the 2023 North America MongoDB Innovation Awards. These awards honor projects and people who dream big and we are proud to celebrate the winners’ groundbreaking use of data to build compelling applications, as well as the creativity of these professionals who are expanding the limits of technology with MongoDB.
MongoDB Simplifies the Partner Ecosystem for Customers and Recognizes Partner Excellence
Organizations today have a clear imperative– building modern applications to prepare their business for the future. At MongoDB, the leading cloud-native modern database, we harness the power of our ecosystem to connect our customers with the innovative technology and services needed to build the modern applications end-users love. Every day, tens of thousands of customers and millions of developers rely on our flexible document-data model that can handle any type of data at scale.
MongoDB and BigID Delivering Scalable Data Privacy Compliance for Financial Services
Ensuring data privacy compliance has become a critical priority for banks and financial services. Safeguarding customer data is not only crucial for maintaining trust and reputation but also a legal and ethical obligation. In this blog, we will dive into why and how the financial services industry can adopt an approach to data privacy compliance effectively using BigID and MongoDB.
MongoDB Achieves AWS Financial Services Competency
We are delighted to announce that MongoDB Atlas has successfully achieved the AWS Financial Services competency, highlighting our dedication to delivering exceptional data management solutions tailored specifically for the financial industry. This significant milestone demonstrates our ability to provide secure, scalable, and reliable database services that meet the stringent regulatory requirements and unique challenges faced by financial institutions.
Fueling Pricing Strategies with MongoDB and Databricks
Deploying real-time analytics solutions with the right tech stack can have transformative benefits. Retailers want to grow their brand name or improve customer experience with value based pricing, whilst remaining competitive and cost effective.
Improved Developer Experience with the Atlas Admin API
With MongoDB Atlas, we meet our developers where they are and offer multiple ways to get started and work with Atlas. One of the ways to get started programmatically with Atlas is through the Atlas Administration API. It provides programmatic access to Atlas resources such as clusters, database users, or backups to name a few, enabling developers to perform operational tasks like creating, modifying, and deleting resources. We are excited to announce two key capabilities that will improve the developer experience when working with the Atlas Administration API.
Unleashing Innovation in the Start-Up Nation: Inside MongoDB Israel
Israel, often referred to as the “start-up nation”, has a thriving tech scene and drive for innovation. In the bustling city of Tel Aviv, our MongoDB office offers a space for employees from across the organization to collaborate, build community, and empower MongoDB customers to unleash the power of software and data. Now with over 50 employees in Tel Aviv, MongoDB Israel is paving the way for data platform transformation in this start-up nation. Read on to learn more about life at MongoDB in Israel.
New Online Archive with Performance Improvements and Enhanced Metrics
We are excited to announce several new features coming to Atlas Online Archive. With these improvements, customers will observe higher performance, be able to choose which region hosts their archival data, and have greater insight into the data stored in the archive through improved metrics.
The Guide to openEHR Schema Modeling with MongoDB
Disclosure: This article features valuable insights from MongoDB's experts, customers, or partners to further an understanding of MongoDB in specific industry use cases. Please note that while MongoDB does not validate the accuracy of the text and statements, this resource aims to provide practical knowledge for your reference.
Sales Advice for a Winning Year
Sam Fiorenzo and Lorena Cortes are two exceptional salespeople at MongoDB who have made a significant impact on their careers and the company. As they geared up to join our Excellence Club, they offered to share their insights and advice on what it takes to have a successful year in sales. Whether you're just starting out or looking to take your career to the next level, their tips and strategies are sure to inspire and guide you on your journey.
Accelerating to T+1 - Have You Got the Speed and Agility Required to Meet the Deadline?
On May 28, 2024, the Securities and Exchange Commission (SEC) will implement a move to a T+1 settlement for standard securities trades, shortening the settlement period from 2 business days after the trade date to one business day. The change aims to address market volatility and reduce credit and settlement risk.
Aerofiler Brings Breakthrough Automation to the Legal Profession
Don Nguyen is the perfect person to solve a technology problem in the legal space. Don spent several years in software engineering before eventually becoming a lawyer, where he discovered just how much manual, administrative work legal professionals have to do. The company he co-founded, Aerofiler, takes the different parts of the contract lifecycle and digitises them to eliminate manual work, allowing lawyers to focus on things that require their expertise.
4 Ways MongoDB Solves Healthcare's Interoperability Puzzle
Picture this: You're on a road trip, driving across the country, taking in the beautiful scenery, and enjoying the freedom of the open road. But suddenly, the journey comes to a screeching halt as you fall seriously ill and need emergency surgery. The local hospital rushes you into the operating room, but how will they know what medications you're allergic to, or what conditions you've been treated for in the past?
The MongoDB World Tour is Coming to NYC
Last year marked our big return to live events with MongoDB World in NYC. For this year, MongoDB is hosting a series of events in cities all around the world that we're calling "dot local" because now the show comes to you. Our next stop is New York and it's approaching fast.
Application-Driven Analytics: Why are Operational and Analytical Workloads Converging?
Fifteen years ago, our vision was to provide developers a new approach to databases. As industry change is constant, we are working to bring you another shift so you can stay ahead of the curve – application-driven analytics.
What's New in Atlas Charts: Suggested Charts, Auto Activation, and Contextual Help
Atlas Charts is the native data visualization tool for quickly and easily analyzing your data in MongoDB Atlas. Today, we’re announcing a collection of updates that further streamline the Charts experience:
Efficiency and Empathy: A Conversation with MongoDB’s Director of Business Systems
Tech Ops at MongoDB is committed to implementing tools and improving processes that enable our teams to work more efficiently and effectively. Hear from Devika Saharya, Director of Business Systems, to learn more about how her teams are making an impact, her approach to leadership, experience as a member of the Asian American community, and the challenges and opportunities she’s taken hold of throughout her career.
Tag, You're It: Using MongoDB Labels to Drive DataDog Business Logic
MongoDB Atlas and DataDog work better together to enable you to take advantage of the automation, elasticity, and scalability of modern infrastructure and act on real-time information to make well-informed decisions.
Three Major IoT Data-Related Challenges and How to Address Them
IoT has formed itself a crucial component for future-oriented solutions and holds a massive potential of economic value. McKinsey & Company estimates that by 2030, IoT (Internet of Things) will enable $5.5 trillion to $12.6 trillion in value worldwide, including the value captured by consumers and customers. For proof of its growing popularity and consumers’ dependency on it, you likely don't need to look any further than your own wrist. From fitness bands to connected vehicles, smart homes, and fleet-management solutions in manufacturing and retail, IoT already connects billions of devices worldwide, with many more to come.
Operationalize Digital Transformation with a Robust Analytical Data Store
In today's rapidly evolving technological landscape, digital transformation has become a critical business imperative. The key drivers and objectives of transformation efforts are to enhance decision-making, maximize efficiencies and create compelling customer experiences. To achieve these goals, organizations require an Analytical Data Store with modern data storage, analytical capabilities, high scalability, and faster querying speed.
Search Modernization with Pureinsights and MongoDB Atlas Search
Search engines have transformed in recent years from basic tools used for retrieving data within an organization, searching product catalogs and ecommerce sites, to astonishing cognitive search tools. Cognitive search combines traditional search with knowledge graph and advanced AI technologies like natural language processing (NLP) and machine learning (ML). These technologies provide powerful search and discovery experiences for workplaces, ecommerce platforms, customer support, websites, or any applications where people are looking for information.
Overcome the Biggest Obstacle to True Customer 360: with MongoDB Atlas and Dataworkz
The more you know about your customers, the better you can attract them and increase their lifetime value to your business. The ability of modern systems to collect, store, and leverage customer data across disparate systems has raised the bar for what it means to understand your customer. To the winner goes the spoils, and the spoils go to the companies that navigate the last mile in the journey to attain true Customer 360: they leave no customer data behind. They hunt down every relevant source of customer data in their reach and turn them into valuable insight – without breaking a sweat.
Three Ways Retailers Use Search Beyond the Ecommerce Store
When consumers think of retail search, the first thing that comes to mind is typically the search bar of an ecommerce website. This is for a good reason: a Salesforce commerce study shows that 87% of shoppers begin their shopping journey in the search bar, and Forrester has found that as many as 68% of shoppers would not return to a site that provided a poor experience.
Security in Government Solutions: Why Secure By Default is Essential
Data security in government agencies is table stakes at this point. Everyone knows it’s essential, both for compliance and data protection purposes. However, most government agencies are working with solutions that require frequent security patches or built-on tools to protect their data.
MongoDB Releases “Focus Mode” in Compass GUI
We’re excited to announce an improvement to the aggregation-building experience in MongoDB Compass. Compass already makes it easy to view and manage your MongoDB databases, and with the addition of Focus Mode you now have the option to dial in on specific stages within your aggregation pipeline.
Visualizing Your MongoDB Atlas Data with Atlas Charts
MongoDB Atlas is the leading multi-cloud modern database. We see some of the world’s largest companies in manufacturing, healthcare, telecommunications, and financial services all build their businesses with Atlas at their foundation.
Why MongoDB’s Partner Team is Focused like a Laser, Not a Flashlight
Four years ago, I wrote an article about how our Partner and Sales teams work together to ensure success. Since then, our Partner organization has grown five times in size and become even more of a competitive differentiator for MongoDB. As we continue to build lasting relationships with our partners and become even more strategic in how we leverage our partnerships, I’m reflecting on how far the Partner organization has come and where we’re headed.
Digital Payments - Latin America Focus
Pushed by new technologies and global trends, the digital payments market is flourishing all around the world. With a valuation at over USD 68 billion in 2021 and expectations to grow to double digits over the next decade, emerging markets are leading the way in terms of relative expansion. A landscape once dominated by incumbents - big banks and credit card companies - is now being attacked by disruptors that are interested in capturing a market share.
MongoDB is Going on a World Tour
The last three years have been a rollercoaster for the world of events. Here at MongoDB that meant we went from taking everything virtual in 2020 to embracing a hybrid approach in 2021, and then coming back in a big way in 2022 with 14 live events around the globe attended by more than 4,500 members of the MongoDB community. We were so inspired by your enthusiasm to be back in person, sharing best practices and learning from one another.
Build a ML-Powered Underwriting Engine in 20 Minutes with MongoDB and Databricks
The insurance industry is undergoing a significant shift from traditional to near-real-time data-driven models, driven by both strong consumer demand, and the urgent need for companies to process large amounts of data efficiently. Data from sources such as connected vehicles and wearables are utilized to calculate precise and personalized premium prices, while also creating new opportunities for innovative products and services.
MongoDB Atlas Integrations for AWS CloudFormation and CDK are now Generally Available
Infrastructure as Code (IaC) tools allows developers to manage and provision infrastructure resources through code, rather than through manual configuration. IaC have empowered developers to apply similar best practices from software development to application instructure deployments. This includes:
Unifying Identity to Drive Customer Experience at a Leading Telco
As telecommunications companies around the world diversify product portfolios, adhere to new regulations and execute acquisitions and mergers to excel in a mature industry, customers’ expectations for flawless service, speed, and availability are only growing. All of these combined challenges put pressure on companies' applications and tech stack.
Launching Rockets Doesn’t Need to be Rocket Science with MongoDB Atlas: Building Smarter Applications Using Application-Driven Analytics
Data shouldn’t be the limiting factor in any system. Take for example, space rocket launches. Did you know a typical rocket launch can generate more than one million metrics per second? This includes readings from thousands of IoT sensors, observation notes added in real-time by engineers, and critical weather data. Integrating such large volumes of distinct data types into a single platform used to take a significant development effort — and that's even before factoring in real-time analytics and alerts.
Informing MongoDB Product Strategy Through Analytical Insights: Meet Natalya Furmanova
Natalya Furmanova joined MongoDB as a Product Manager in 2018. Since then, she’s had the opportunity to pursue her passions by making an internal transfer to our Data Analytics team where she produces quantitative insights that, simply put, help make our products better! Read on to learn more about how Natalya makes an impact in her role as a Data Analyst and what makes this team a great fit for someone who loves solving highly analytical problems.
Ignite Launches Smart Spend Management Solution on MongoDB
Expenditures are under a microscope in today's macroeconomic environment. Organizations everywhere are trying to do more with less and stretch their budgets further. But managing spend can be an uphill battle when data is siloed across the organization. Ignite Procurement's spend management solution helps organizations unify procurement data across the enterprise, making procurement easier, better, and more efficient.
Honoring Black History Month: How These MongoDB Employees Defied the Odds
February is Black History Month. It’s a time to reflect on and celebrate the struggles and triumphs of the black community and remember the importance of elevating black voices. Each year at MongoDB, we ask members of our employee resource group BEAM (Black Employees At MongoDB) if they’d like to share a personal story about their experiences and what this month means to them. This year, hear from Administrative Assistant Rita Henderson and Regional Director Daniel Hawthorne to learn more about their journeys into tech.
MongoDB Atlas for Government on AWS Achieves FedRAMP® Moderate Authorization
MongoDB has achieved the formal FedRAMP® Moderate Authorized designation for MongoDB Atlas for Government (US), the most secure way for the US Government to deploy, run, and scale MongoDB in the cloud. Additionally, MongoDB has worked with an independent auditor to validate our ability to support customers subject to Criminal Justice Information Services (CJIS) requirements regarding how sensitive data is created, viewed, modified, transmitted, disseminated, stored, and destroyed.
COSMOS SQL Migration to MongoDB Atlas
Azure Cosmos DB is Microsoft's proprietary globally distributed, multi-model database service. Cosmos DB supports SQL interface as one of the models in addition to the Cosmos MongoDB API. Even customers with the SQL interface use COSMOS for the document model and the convenience of working with a SQL interface.
Using Change Point Detection to Find Performance Regressions
At MongoDB, we want to (honestly) tell our users that each new version of our software is faster than the previous version. We also want to be able to explain why. We definitely do not want to learn that a release is slower (we have a performance regression) from our customers telling us after discovering it for themselves. In order to do this, we need to understand the performance of our software, detect performance changes early, and aggressively redress the root cause.
Hydrus Helps Companies Improve ESG Performance
More organizations are embracing workforce diversity, environmental sustainability, and responsible corporate governance in an effort to improve their Environmental, Social, and Governance (ESG) performance. As investors increasingly favor ESG in their portfolios, organizations are under greater pressure to capture, store, and verify ESG metrics. San Francisco-based startup, Hydrus, is helping companies make ESG data more usable and actionable.
How Startups Stepped Up in 2022
After muddling through the global pandemic in 2021, entrepreneurs emerged in 2022 ready to transform the way people live, learn, and work. Through the MongoDB for Startups program, we got a close-up view of their progress. What we observed was a good indication of how critical data is to delivering the transformative experiences users expect.
Top 3 Wins and Wants from the Latest TDWI Modernization Report
We recently reported that analyst and research firm TDWI had released its latest report on IT modernization: Maximizing the Business Value of Data: Platforms, Integration, and Management. The report surveyed more than 300 IT executives, data analysts, data scientists, developers, and enterprise architects to find out what their priorities, objectives, and experiences have been in terms of IT modernization. In many ways, organizations have made great progress.
Build Analytics-Driven Apps with MongoDB Atlas and the Microsoft Intelligent Data Platform
Customers increasingly expect engaging applications informed by real-time operational analytics, yet meeting these expectations can be difficult. MongoDB Atlas is a popular operational data platform that makes it straightforward to manage critical business data at scale.
MongoDB Named a Leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems
MongoDB is proud to be named a Leader in the 2022 Gartner® Magic Quadrant for Cloud Database Management Systems (DBMS). We believe this achievement makes MongoDB the only pure-play application database provider recognized as a Leader.
Securing Multi-Cloud Applications with MongoDB Atlas
The rise of multi-cloud applications offers more versatility and flexibility for teams and users alike. Developers can leverage the strengths of different cloud providers, such as more availability in certain regions, improved resilience and availability, and more diverse features for use cases such as machine learning or events.
Demystifying Sharding with MongoDB
Sharding is a critical part of modern databases, yet it is also one of the most complex and least understood. At MongoDB World 2022, sharding software engineer Sanika Phanse presented Demystifying Sharding in MongoDB, a brief but comprehensive overview of the mechanics behind sharding.
Forrester Study: How IT Decision Makers Are Using Next-Generation Data Platforms
Data is critical to every financial institution; it is recognized as a core asset to drive customer growth and innovation. As the need to leverage data efficiently increases, however, the legacy technology that still underpins many organizations is not built to support today’s requirements. Not only is this infrastructure costly and complex, it doesn’t support the diversity of workloads and functions that modern applications require.
MongoDB Donates Laptops to Metropolitan School - Frankfurt
MongoDB has teamed up with one of its customers, Cyntegrity, to provide 20 MacBook Air laptops to the Metropolitan School - Frankfurt (MSF). This step is part of an initiative to support the school’s students, including Ukrainian refugees who are studying there after leaving their home country due to instability created by war.
Built With MongoDB: Inspirit Helps Kids Learn Science Through Immersive Technology
Immersive technologies like AR and VR have tremendous potential to transform learning outcomes for students. By representing complicated, often intangible concepts in an interactive, 3D platform and VR system, they encourage engagement and improve memory recall in STEM (science, technology, engineering, and mathematics) subjects.
MongoDB and AWS: How a decade-old collaboration got even better in 2022
Developers select MongoDB because it makes building with data for almost any class of application easy and fast for them. They select Amazon Web Services (AWS) because it offers a comprehensive and broadly adopted cloud platform, offering more than 200 fully featured services. Bringing together MongoDB Atlas on AWS helps developers build and ship higher quality applications faster and scale them further.
10 years of MongoDB customers at AWS re:Invent
MongoDB has attended AWS re:Invent since its inception in 2012. A key reason for this is, of course, to help strengthen our partnership with AWS, which really began in 2015 and significantly expanded in March 2022 with a global, strategic collaboration agreement. But an even more fundamental reason for MongoDB's continued presence at AWS re:Invent over the years is the opportunity to engage with our many joint customers.
Manage and Store Data Where You Want with MongoDB
Increasingly, data is stored in a public cloud as companies realize the agility and cost benefits of running on cloud infrastructure. At any given time, however, organizations must know where their data is located, replicated, and stored — as well as how it is collected and processed to constantly ensure personal data privacy.
MongoDB and AWS: Simplifying OSDU Metadata Management
In this decade of the 2020s, the energy sector is experiencing two major changes at the same time: The transition from fossil to renewables, and the digital transformation that changes the way businesses operate through better applications and tools that help streamline and automate processes.
Enhancing the .NET Development Experience with Roslyn Static Analysis
The MongoDB .NET/C# driver introduces idiomatic APIs for constructing queries and aggregations: LINQ and Builders. These APIs eliminate the need to write native MongoDB Query Language (MQL), but they also introduce some overhead when it comes to troubleshooting and optimizing the underlying MQL. Because the generated MQL cannot be inspected at compile time, troubleshooting queries involves outputting MQL at runtime and/or inspecting runtime exceptions.
Built by MongoDB: Qubitro Makes Device Data Accessible Anywhere it's Needed
Increased cloud adoption and the expansion of 5G networks are expected to drive growth in IoT technologies over the next few years. Emergent IoT technologies are poised to transform businesses and the social fabric, including healthcare, smart homes and cities, and the government sector. Delaware-based startup, Qubitro, looks to capitalize on the potentially explosive growth in IoT technology by helping companies bring smart solutions to market faster. Qubitro, which is also a member of the MongoDB for Startups program, offers the fastest way of collecting and processing device data to activate it wherever it's needed.
MongoDB at AWS re:Invent: Workshops, Talks, Parties, and More
Join us at AWS re:Invent 2022 in Las Vegas. At our re:Invent booth and in our sessions, we'll show how MongoDB Atlas on AWS lets you build applications that are highly available, performant at global scale, and compliant with the most demanding security and privacy standards. MongoDB Atlas on AWS also provides the convenience of consolidated billing and simplified procurement through your AWS account. Learn how developers can use AWS and MongoDB features together to build the next big thing in AI, application modernization, serverless analytics, or any number of use cases.
Atlas Charts Adds Support for Flex tier and Online Archive Data Sources
We recently introduced streamlined data sources in Atlas Charts, which eliminates the manual steps involved with adding data sources into Charts. With MongoDB Atlas project data automatically available in Charts, your visualization workflow can become quicker and simpler than ever.
Built With MongoDB: ChargeHub Simplifies the Electric Charging Experience
While the market for electric vehicles (EVs) continues to expand, several barriers to adoption continue to prevent buyers from making the switch. One of the top concerns among potential buyers is access to charging stations. Currently, there are more than 150,000 charging stations in the U.S. and Canada, but you wouldn't know it by driving along a highway or through a densely populated area. That's because unlike gas stations, charging stations are not advertised on the side of highways or with huge commercial signs. Quebec-based startup, ChargeHub, is out to solve this problem.
Modernizing Banking Technology Architecture with MongoDB and Gravity9
The banking industry has historically relied on legacy, on-premises systems to store critical financial data in a secure and resilient technology fabric. Today, as transactions happen in real-time and customer demands soar, legacy systems fail to support accelerated modernization and restrict innovation. This change has driven banking enterprises to consider transitioning to newer technologies that can plug better capabilities into business-critical systems while preparing them for tomorrow's challenges.
MongoDB Supports Cutting-Edge Startups with NVIDIA Inception
We are excited to announce that MongoDB for Startups is collaborating with NVIDIA Inception to power cutting-edge startups in AI, autonomous driving, gaming, robotics, healthcare, and more. Here, we answer frequently asked questions to provide a brief overview of the initiative.
How to Model Data in Document Databases for Read and Write Performance
MongoDB is often seen as a good choice for storing unstructured data. The ability to persist data in MongoDB without defining what type of data it is or designing schema for it is one of the reasons many of our customers choose us. But the idea that MongoDB is a "schemaless" database is not accurate. Although a document database does allow you to store data without defining what it is, the shape of that data matters if you plan to do more than simply retrieve whole documents by keys.
How the Atlas Search Team Empowers Engineers: Meet Nolan Lum
To take advantage of the benefits of having a modern database, MongoDB users need the ability to search and filter quickly against their dataset. Nolan Lum is a senior software engineer on MongoDB’s Atlas Search team where she helps create the fastest and easiest way to build relevance-based search capabilities directly into applications.
Built With MongoDB: Thunkable Brings the Power of App Development to Non-Developers
Great ideas can come from anywhere. But, if you have a great idea for a mobile app, you won't get far without developer talent. In today's app market, there are so many ideas in various stages of development that developer talent has become scarce and costly. To fill the gap, low-code and no-code solutions have emerged.
Skunkworks 2022: A Week of Building for MongoDB Engineers
MongoDB’s 2022 internal Skunkworks hackathon wrapped up in July, and it was a bustling time of hacking, building, and developing. For MongoDB engineers, Skunkworks is a week of no meetings and no interviews—engineers can have fun and work alongside co-workers from different teams to build side projects, proof of concepts, or anything else imaginable.
MongoDB Employees Share Their Coming Out Stories: (Inter)national Coming Out Day 2022
National Coming Out Day is celebrated annually on October 11th and is widely recognized in the United States and parts of Europe. MongoDB proudly supports and embraces the LGBTQIA+ community across the globe, so we’ve reimagined this celebration as (Inter)national Coming Out Day, and this year is our third official celebration.
Honoring Latine Heritage Month at MongoDB
Heritage and culture sits at the centerfold of human interaction. With a population of more than 650 million people, speaking over 400 different languages, and spanning a geographic area from the tip of Patagonia to the Caribbean, the people of Latin America and the culture of their 33 countries are difficult to condense into one identity. In celebration of Latine Heritage Month, we asked a few Latine MongoDB employees to reflect on their heritage and ultimately how that shapes their work.
Solving Business Problems and Impacting Customer Experience with MongoDB’s Data Analytics Team
Chris Douglas is currently a Product Analytics Manager on MongoDB’s Data Analytics team in New York City. In this article, we discuss the team culture and growth, how analysts make an impact, and the close partnership they’ve built with our product organization. Read on to learn more about data analytics at MongoDB.
Top 5 MongoDB Podcast Episodes in 2022 (so far)
At MongoDB, one of our core values is to be focused on building together. One way we lean into this value is by bringing some of the best voices and stories from the database and tech communities onto our podcast. Podcasts help communities learn and connect. So as we head toward the end of the year, let’s take a look back—or, perhaps, a listen back—to our top episodes based on listens from The MongoDB Podcast so far in 2022.
Introducing Snapshot Distribution in MongoDB Atlas
Data is at the heart of everything we do and in today’s digital economy has become an organization's most valuable asset. But sometimes the lengths that need to be taken to protect that data can present added challenges and result in manual processes that ultimately slow development, especially when it comes to maintaining a strict backup and recovery strategy.
Built With MongoDB: Satori Streamlines Secure Data Access
Handling data imposes contradictory responsibilities upon organizations. On one hand, they need to protect data from unauthorized access. On the other hand, they need to extract value from data; otherwise, why collect it in the first place? The contradiction lies in the fact that to extract value from data, you have to grant access to it, but unregulated access to data can lead to its misuse.
4 Reasons Why Your Tech Company Should Launch a Podcast
Podcasts, originally known as audioblogs, are a relatively new content format. The first podcast didn’t launch until some time around 2004, so it makes sense that many organizations have not, historically, considered podcasting to be a top priority.
Women’s Advocacy Summit Recap: The Value of Inclusive Cultures
It’s July 26, 2022, and Sandhya Parameshwara, Managing Director, Accenture, opens the Women’s Advocacy Summit with a stark wake-up call: There are clear disconnects between business leaders’ perceptions of the importance of workplace culture and inclusivity and those of their employees and the wider public, especially millennials.
Relational to NoSQL at Enterprise Scale: Lessons from Amazon
When most people think about Amazon, they think of the cloud. But the company was founded more than a decade before anyone was talking about the cloud. In fact, by 2002, when Amazon founder Jeff Bezos wrote a now-famous internal email directing all new software development to be designed around service-oriented architecture, Amazon was already a $5 billion enterprise.
Built With MongoDB: Vanta Automates Security and Compliance for Fast-Growing Businesses
Organizations pay a high price for running afoul of regulations. Several eight- and nine-figure fines have already been issued for GDPR violations in the four years since the far-reaching privacy regulation went into effect. Although the biggest fines are reserved for the biggest offenders, small businesses and startups, which can least afford financial and reputational setbacks, have no choice but to take compliance seriously.
How to Use MongoDB Atlas to Make Your CRM More Efficient
As part of digital transformation, many companies want to optimize their internal business processes, gain more visibility into important business metrics, and create new automation routines. Data is always at the core of business processes and metrics, and most business-critical data is often located in one or a few repositories, such as a customer relationship management system (CRM).
MongoDB Partners With Codecademy on New “Learn MongoDB” Course
MongoDB is pleased to announce the release of the new "Learn MongoDB'' course, created together with Codecademy. Hosted on the Codecademy platform, the course teaches students the basics of MongoDB and how to perform CRUD operations, query and analyze data, and create and use indexes.
Moving From Monolith to Microservices: Mark Porter and Accenture’s Michael Ljung Explain
The first step in digital transformation for many organizations is to migrate from legacy on-premises environments and move as many workloads as possible into the public cloud. As seen in the first in our series of conversations between Mark Porter, CTO of MongoDB, and Michael Ljung, Accenture’s Global Lead, Software Engineering, Accenture Cloud First, this is not always easy, but with the right tools and planning, that migration can reap great benefits.
Built With MongoDB: Alloy Transforms Ecommerce With No-Code Integrations
Gregg Mojica and Sara Du knew there was a need for simpler integrations with ecommerce platforms because they had experienced it themselves. After becoming friends through the open source community, they started a Shopify store as a side project and became intrigued by the multitude of apps available in the Shopify ecosystem — a large selection of integrations for things like ERP, email and social media marketing, ads, marketing analytics, and more. Mojica and Du also found that stitching together these disparate tools was overly complex and that the tools were not geared toward ecommerce.
3 Reasons (and 2 Ways) to Use MongoDB’s Improved Time Series Collections
Time series data, which reflects measurements taken at regular time intervals, plays a critical role in a wide variety of use cases for a diverse range of industries. For example, park management agencies can use time series data to examine attendance at public parks to better understand peak times and schedule services accordingly. Retail companies, such as Walmart, depend on it to analyze consumer spending patterns down to the minute, to better predict demand and improve shift scheduling, hiring, warehousing, and other logistics.
Breaking the Bias: How Can We Get More Women Into Top-Level Tech?
As a company committed to building a culture of belonging, MongoDB strives to attract and retain a diverse workforce. To support this goal, we created MDBWomen, a community where MongoDB employees identifying as women can seek support, share experiences, and build connections.
Development, Enablement, and Career Transformation With MongoDB’s Corporate Sales Team
MongoDB continues to grow our corporate sales team in Europe and the Middle East (EMEA). MongoDB corporate account executives sell into some of the world's highest growth and IT-focused companies, with a goal of securing net new accounts in organizations of up to 1,500 employees. Often working directly with CTOs, Engineering/IT leaders, and technical end users, our corporate sales team drives and builds solutions that serve the best interests of our customers to help them innovate faster than ever before.
How Trust and Collaboration Are Helping Intern Erin McNulty Take On New Challenges
Erin McNulty, a rising senior at Columbia University, is working as a software engineering intern in MongoDB’s New York City office. After interning at MongoDB during the summer of 2021, Erin returned this year to take on a new challenge on a new team — and a new programming language. Read on for more about Erin’s experience and how MongoDB’s engineering culture has enabled her to grow.
MongoDB and IIoT: Data Streaming With Kafka
Event streaming has become a cornerstone of the industrial internet of things (IIoT) because it allows people to unleash the power of real-time operational data to drive applications and analytics. In this article, we share how MongoDB Atlas helps you move data seamlessly from the MQTT protocol into MongoDB time series collections using the Apache Kafka MQTT source and MongoDB sink connectors deployed in a cloud environment.
New in Atlas Search: Improve Content Recommendations With “More Like This”
We’re proud to announce the release of More Like This, a key MongoDB Atlas Search feature that allows developers to easily build more relevant and engaging experiences for their end users. With the moreLikeThis operator, you can display documents that are similar to a result document. In this article, we’ll explain how it works and how you can get started using this new feature.
4 Common Misconceptions About Security That Hackers Hope You Don't Know
I’ve always thought hacking was harder than it looks on TV. But after two years exploring the world of ethical hacking, I’ve learned that almost anyone can hack almost anything if they have sufficient knowledge and think creatively.
How MongoDB Protects Against Supply Chain Vulnerabilities
Software supply chain vulnerabilities became national news in late 2020 with the discovery of the Solar Winds cyberattack. A year later, as if to put an exclamation point on the issue, the Log4j security flaw was discovered.
Introducing the Ability to Independently Scale Analytics Node Tiers for MongoDB Atlas
We’re excited to announce analytics node tiers for MongoDB Atlas. Analytics node tiers provide greater control and flexibility by allowing you to customize the exact infrastructure you need for your analytics workloads.
Tools for Implementing Zero Trust Security With MongoDB
The practice of protecting IT environments from unauthorized access used to be centered on perimeter security — the strategy of securing the perimeter but allowing unrestricted access inside it. As users became increasingly mobile and IT assets became increasingly dispersed, however, the notion of a network perimeter became obsolete. That strategy has now been replaced by the concept of zero trust.
Video: Canva's Lessons From Scaling MongoDB Atlas to 10 Billion Documents Across 100 Nodes
Running complex, global, and mission-critical infrastructure at scale is difficult, and anyone who has done it for any length of time usually has a few gnarly lessons to share. At MongoDB World in June 2022, we were lucky enough to feature someone who had done just that. Michael Pearson, software engineering team lead at Canva, gave a talk titled “10 Billion Documents: How Canva Scaled MongoDB to 100 Nodes.”
Integrating Support for Non-Volatile Memory Into WiredTiger
Intel Optane DC Persistent Memory is a non-volatile memory (NVRAM) product that resembles both storage and memory and can be used as either. Like storage, Optane NVRAM retains data after a crash or power outage. Like memory, it sits on the memory bus and can be accessed by CPU using load/store instructions. In certain scenarios, its access latency even approaches that of dynamic random access memory (DRAM).
Meet Gabriella Cohen: Expanding MongoDB’s Presence in Israel as the Newest Regional Vice President
Gabriella Cohen recently joined MongoDB’s sales leadership team as Regional Vice President for Israel. We sat down to discuss her career move from Amazon Web Services (AWS) to MongoDB and the opportunities for sellers in the Israeli market.
Mobile Edge Computing, Part 1: Delivering Data Faster with Verizon 5G Edge and MongoDB
As you’ve probably heard, 5G is changing everything, and it’s unlocking new opportunities for innovators in one sector after another. By pairing the power of 5G networks with intelligent software, customers are beginning to embrace the next generation of industry, such as powering the IoT boom, enhancing smart factory operations, and more.
Change Streams in MongoDB 6.0 Support Pre- and Post-Image Retrieval, DDL operations, and more
Introduced with MongoDB 3.6, a MongoDB change stream is an API on top of the operations log (oplog) that allows users to subscribe their applications to data changes in a collection, database, or entire deployment. It makes it easy for teams to build event-driven applications or systems on MongoDB that capture and react to data changes in near real time — no middleware or database polling scripts required.
7 Big Reasons to Upgrade to MongoDB 6.0
First announced at MongoDB World 2022, MongoDB 6.0 is now generally available and ready for download now. MongoDB 6.0 includes the capabilities introduced with the previous 5.1–5.3 Rapid Releases and debuts new abilities to help you address more use cases, improve operational resilience at scale, and secure and protect your data.
MongoDB for Startups Is Now an Exclusive Offer in AWS Activate
Starting a new business isn’t easy. MongoDB and Amazon Web Services (AWS) have worked together for more than a decade to create developer tools that simplify the process of building software, while helping startups get going with minimal resources.
Rockets, Rock ’n’ Roll, and Relational Databases — a Look Back at the Year of RDBMS
When you reach a certain age, you’d rather not be reminded of how old you are on your birthday. At 52 years old this summer, the relational database management system (RDBMS) has reached that point. But also at 52, it’s close to that other stage in life, the one in which you no longer care what others say about you. We’re talking things like:
Migrating Terabytes of IoT Data From a Legacy NoSQL Database to MongoDB Atlas With MongoDB's Custom Migration Tool
In 2020, a large European energy company began an ambitious plan to replace its traditional metering devices — all 7.6 million of them — with smart meters. That would allow the energy company to monitor gas use remotely and allow customers’ bills to more accurately reflect their energy consumption. At the same time, the company began installing smart components along their production network to monitor operations in real-time, manage alarms, use predictive maintenance tools, and find leaks using advanced technologies.
How These MongoDB Employees Celebrated Juneteenth
On June 19, 1865, soldiers arrived in Galveston, Texas, announcing that the more than 250,000 enslaved Black people in the state were free by executive decree. This was more than two years after the Emancipation Proclamation was signed. Today, June 19 is celebrated as Juneteenth, a day of hope despite present-day uncertainty. It reminds us that at the end of every struggle there comes a time for a change if we persist and do not give up.
MongoDB Atlas to Expand in the Middle East
We’re proud to announce further expansion in the Middle East coming in 2023 with the launch of MongoDB Atlas on AWS in the United Arab Emirates (UAE) region. MongoDB Atlas is now available in 22 AWS regions around the world, including eight Asia Pacific regions and three Middle East and Africa regions.
MongoDB and Clarity Business Solutions: Enabling Modernization for Public Sector Clients
Cloud-based transformation is now a must-have for federal agencies. And, in partnership with Clarity Business Solutions, MongoDB is making that transformation easier for government agencies, particularly those that work in closed, air-gapped environments and that require security clearances for their support staff. In this article, we’ll look at specific ways MongoDB and Clarity Business Solutions are working together to support public sector clients.
10 Things We Learned at MongoDB World 2022
When you return to a normal routine after a long break, you find out how much you miss your old routine. After hosting MongoDB World remotely for two years, we were happy to get back to seeing people in person — almost 3,000 of them. Here’s a quick rundown of the top 10 things we learned at MongoDB World 2022.
Building Together: MongoDB Is Google Cloud’s Technology Partner of the Year for Data Management
Few companies can credibly claim to understand and work with data as effectively as Google, so when Google Cloud announced this week that MongoDB is the Google Cloud Technology Partner of the Year for Data Management, the award felt particularly meaningful.
MongoDB Compatibility With Rocky Linux and AlmaLinux
At MongoDB, our mission is to help innovators unleash the power of software and data. To do that, we know that users expect to be able to deploy MongoDB on industry-standard operating systems. To that end, MongoDB now officially supports MongoDB products on AlmaLinux and Rocky Linux.
Building a Modern App Stack with Apollo GraphQL and MongoDB Atlas
Delivering new app experiences with legacy architectures is slow and painful. Many organizations invest massive amounts of resources to make their infrastructure more resilient and flexible yet find they’re still not delivering products at the speed they seek. API complexity means that, rather than delivering new experiences, frontend and backend teams must navigate scattered microservices, versioned REST endpoints, and complex database management. This article explains how teams can reduce complexity through the use of Apollo GraphQL and MongoDB Atlas.
The Developer Data Platform: Highlights from MongoDB World 2022 Keynotes
MongoDB World 2022 is the first in-person MongoDB conference in nearly three years, offering us an opportunity to announce new releases and outline the future of MongoDB. During three World keynotes on June 7, the company’s leaders discussed our vision for the company and our products — and how they form a developer data platform, a family of tools and services built around a common API to help developers reduce complexity, improve their experience, achieve operational excellence, and run deep analytics.
MongoDB Announces the New Atlas CLI
We are pleased to announce the release of the new MongoDB Atlas Command-Line Interface (CLI). The MongoDB Atlas CLI is the fastest way to create and manage an Atlas database, automate ongoing operations, and scale your deployment for the full application development lifecycle.
Enhancing Atlas Online Archive With Data Expiration and Scheduled Archiving
Atlas's Online Archive feature allows you to set archiving rules to move data that is not frequently accessed from your Atlas cluster to a MongoDB-managed object store. It also allows you to query both your Atlas and Online Archive data in a unified manner without having to worry about the tier in which the data resides.
New Ways to Deliver Excellent Search Experiences With Atlas Search
We’re pleased to announce several new and recently released Q2 features in Atlas Search designed to help you build relevance-based search directly into your applications. With the introduction of facets on sharded collections (available in MongoDB 6.0), embedded documents in arrays (available in preview), and cross-collection search using $lookup and $unionwith, you have even more tools to deliver rich and personalized search experiences to your users.
MongoDB Releases Queryable Encryption Preview
Today we are announcing the Preview release of Queryable Encryption, which allows customers to encrypt sensitive data from the client side, store it as fully randomized encrypted data on the database server side, and run expressive queries on the encrypted data.
Introducing the Atlas SQL Interface, Connectors, and Drivers
We’re excited to announce the Atlas SQL Interface, Connectors, and Drivers, which are now available for public preview. This feature empowers data analysts, many of whom are accustomed to working with SQL, to query and analyze Atlas data using their existing knowledge and preferred tools. Additionally, because the Atlas SQL Interface leverages Atlas Data Federation for its query engine, you can access data across Atlas clusters and cloud object stores using a single SQL query.
Flexible Sync Delivers Device Data to the Cloud in Real-Time
We’re excited to announce the general availability of Flexible Sync, the next iteration of Atlas Device Sync, MongoDB’s synchronization solution between the popular client-side database Realm and MongoDB Atlas. Flexible Sync introduces significant architectural enhancements to Device Sync that improve developer productivity and further reduce the complexity of managing separate data technologies when connecting mobile and embedded devices to the cloud.
Accelerate App Development by Integrating MongoDB Atlas with Vercel: Now Available on the Vercel Marketplace
We’re excited to announce that MongoDB Atlas is now available on the Vercel Integrations Marketplace. If you are already using Vercel to develop and ship applications, or considering it for an upcoming project, this integration enables you to add a fully managed MongoDB Atlas database to your Vercel application in a matter of minutes.
Working Together: MongoDB's Partner of the Year Awards
Organizations face more pressure than ever to modernize, to innovate, and to become more data-driven. Whether it's AstraZeneca doing next-generation genome sequencing to develop drugs to fight cancer and other diseases, Toyota connecting more than 100,000 warehouse vehicles with integrated telematics to reshape industrialization, or Forbes developing new ways to create and deploy content, many of the world's top companies have chosen to modernize with MongoDB.
MongoDB Announces New Time Series Capabilities Coming for MongoDB 6.0
MongoDB 6.0 will come with a wealth of exciting new features for customers, including new capabilities for managing time series data. Notable improvements include support for secondary indexes on time series measurements, which makes it easier for users to index data that varies over time. We’ve also made read performance improvements for sort operations.
Making It Matter: Amplifying Voices at the MongoDB World IDEA Lounge
MongoDB World — an event for the creators, disruptors, and transformers of tomorrow — is more than just a technology conference. People are at the heart of transformation, digital or otherwise, and that’s why MongoDB World is hosting its first IDEA Lounge, whose purpose is to engage with the issues of inclusion, diversity, equity, and accessibility (IDEA). The lounge aims to amplify historically marginalized voices as well as provide accessibility accommodations to attendees.
2022 MongoDB Corporate Sustainability Report Published
Environmental, social, and corporate governance (ESG) has become a buzz phrase in today’s hyperactive equities market. But at MongoDB, the values encapsulated in ESG — sustainability, employee engagement, diversity and inclusion, cybersecurity, and environmental impact — are more than corporate window dressing. They’re core values that we embody through the diversity of our backgrounds, lived experiences, perspectives, and approaches to problem-solving.
Connected Healthcare Data: Interoperability to Solve Fragmentation and Drive Better Patient Outcomes
Many differences exist across healthcare systems around the globe, but there is one unfortunate similarity: fragmentation. Fragmentation is a consequence of the inability of various healthcare organizations (both public and private) to communicate with each other or to do so in a timely or consistent manner, and it can have a dramatic impact on patient and population well-being.
From Tamagotchi Pets to IoT Factories: Digging In at MongoDB World’s Builder’s Fest
Everyone loves to build — whether it’s a child playing with LEGO Bricks or a startup founder building an app from scratch. At MongoDB World 2022, attendees will have the chance to build something truly unique.
How Two MongoDB Employees Are Reflecting on Asian American and Pacific Islander Heritage Month
Asian American and Pacific Islander Heritage Month is a time to reflect on and celebrate the many communities and cultures that make up this group of individuals. Each community has its own history, struggles, and achievements, and it’s important to recognize that the experiences of individuals who belong to them may differ greatly.
What Does the Executive Order on Supply Chain Security Mean for Your Business? Security Experts Weigh In on SBOMs
In the wake of high-profile software supply chain attacks, the White House issued an executive order requiring more transparency in the software supply chain. The Executive Order (14028) on Improving the Nation’s Cybersecurity requires software vendors to provide a software bill of materials (SBOM). An SBOM is a list of ingredients used by software — that is, the collection of libraries and components that make up an application, whether they are third-party, commercial off-the-shelf, or open source software. By providing visibility into all the individual components and dependencies, SBOMs are seen as a critical tool for improving software supply chain security.
Atlas Charts Adds a Dedicated Hub for Managing Embedded Charts and Dashboards
Since the release of the Charts Embedding SDK in May of 2020, developers have been exploring powerful new ways to visualize and share data from their MongoDB Atlas clusters. Embedding charts and dashboards is a valuable use case for Charts users and the new Embedding Page streamlines the embedding experience for first time users and veterans alike.
Shared Responsibility: More Agility, Less Risk
The tension between agility, security, and operational uptime can keep IT organizations from innovating as fast as they’d like. On one side, application developers want to move fast and continually deliver innovative new releases. On the other side, InfoSec and IT operations teams aim to continually reduce risk, which can result in a slowed down process.
A Hub for Eco-Positivity
In this guest blog post, Natalia Goncharova, founder and web developer for EcoHub — an online platform where people can search for and connect with more than 13,000 companies, NGOs, and governmental agencies across 200-plus countries — describes how the company uses MongoDB to generate momentum around global environmental change.
Survey of 2,000 IT Professionals Reveals the Importance of Innovation, and Its Challenges
We all know that innovation is hard. Yet innovation is high on the strategic agendas of most organizations, partly because there is no choice. Highly innovative organizations are more successful across a number of measures, including profitability.
From Enterprise Account Executive to Regional Director: How Lucile Tournier Has Accelerated Her Career with MongoDB France
Lucile Tournier joined MongoDB France as an Enterprise Account Executive in 2020. From learning new technology to becoming a new mom and taking on a leadership role, Lucile has had an incredible journey over the past two years. In this article, I talk with Lucile to learn more about her experience on the Enterprise Sales team in France and how she has grown her career to become a Regional Director at MongoDB.
Building Together: A Look Into MongoDB’s Newest Location in Barcelona
MongoDB may be headquartered in New York City, but our company has offices spanning the Americas, Europe, the Middle East, and the Asia-Pacific region. We are currently made up of more than 3,600 employees and are continuing to grow. On October 1, 2021, MongoDB opened a new office in Barcelona, a city that is quickly becoming an important European business hub. Hear from some of our Barcelona employees to learn about life at MongoDB in Barcelona and why it’s an exciting time to join this expanding location.
Democratizing Data Access With Plain English, Cogram, and MongoDB
Access to information is important for our world and the applications that power it. Today, the disparity in access has narrowed, but not enough. The proliferation of the document database and its flexible data model has unlocked a velocity and freedom that SQL systems will never unlock. It’s time to remove the burden of query languages for users early in their journey.
Every Day Is Tax Day When Your Data Architecture Is Too Complex
Mid-April marks the deadline for filing income taxes in the United States. It’s a moment when the reality of your earnings for the year are made clear and you can see where your money comes from — and where it’s going.
Forward Together: How MongoDB Invests in (and Helps Grow) Modernization Consultancies for Our Customers
At MongoDB, our partners are critical to our ability to care for our customers. For example, our Global Systems Integrator (GSI) partners help MongoDB customers modernize, migrate, and manage their data infrastructure in the cloud at scale.
Introducing Gap Filling for Time Series Data in MongoDB 5.3
At MongoDB we are all about letting developers innovate with data. Time series is the fastest-growing data-intensive workload, and our native time series capabilities let you build applications faster and get more insight from time series data with less cognitive load.
MongoDB ASEAN: How the Corporate Sales Team Is Scaling in One of MongoDB’s Fastest-Growing Regions
MongoDB is growing rapidly around the globe, but one region experiencing particularly significant growth this year is the Association of Southeast Asian Nations (ASEAN). Our ASEAN team works with customers in Singapore, Malaysia, Indonesia, Vietnam, Thailand, and the Philippines. Hear from members of our Sales and Presales team to learn more about how they’re growing their careers and MongoDB’s presence in ASEAN.
Ruby Added to MongoDB Export to Language for Compass and VS Code
Thousands of developers rely on Compass as a GUI or VS Code as an integrated development environment to query their data in MongoDB. With both Compass and the official MongoDB Extension for VS Code, you can build a query or aggregation using the MongoDB Query API and export it to your chosen programming language.
Improved Experience for Saved Aggregations and Queries in MongoDB Compass
Tens of thousands of MongoDB users take advantage of MongoDB Compass to query their data and build sophisticated aggregation pipelines. As an easy-to-use GUI, Compass lets you seamlessly connect to and interact with your data, including using our powerful Query API. You just connect to your cluster, navigate to your chosen database and collection, and start building your queries.
How These Women Are Leading Teams and Growing Their Careers at MongoDB
Each year, MongoDB highlights some of our most influential leaders in celebration of International Women’s Day and Women’s History Month. These women were nominated by their colleagues for making a huge impact on their teams. They’re taking their careers (and MongoDB) to new heights and inspire us every day!
5 Steps to Replacing Elasticsearch and Solr with Atlas Search
What do a global auto manufacturer, multinational media and entertainment company, and a challenger bank have in common? They have all made the switch from Elasticsearch to MongoDB Atlas Search to simplify their technology stack and ship application search faster.
Understanding the MongoDB Stable API and Rapid Release Cadence
MongoDB provides the world’s leading data platform, and we strive to make it as easy as possible for developers to build and evolve their applications. In MongoDB 5.0, we made two important updates to the way we release database versions and make them available to customers: One was the creation of the Stable API and the other was our new quarterly MongoDB Rapid Release cadence. Now that we have a few Rapid Releases under our belt (visit our blog to learn about MongoDB 5.1 and 5.2), we wanted to provide an update on the API and the process for choosing between the Major and Rapid Release tracks.
Unqork + MongoDB: Use a Single View of the Customer to Enhance the User Experience
To remain competitive in financial services, companies must find new ways to optimize the customer experience as a means to boost loyalty and capture market share. One of the biggest challenges companies of all sizes face is unifying disparate data sources to create a single view of the customer.
Honoring Black History Month
As Black History Month comes to an end, we reflect on and honor the history, legacies, achievements, and contributions of the Black community in the United States. Hear from three members of MongoDB’s affinity group TUPOC (the Underrepresented People of Color) to learn more about what this month means to them, and how they are honoring Black history all year round.
MongoDB Launches MongoDB Ventures Investment Fund
Fifteen years ago, MongoDB was founded to give developers an intuitive way to work with ever-increasing volumes of highly varied data, moving in or near real-time. Since then, developers, tired of working with data within the narrow rows and columns of relational databases, have enthusiastically embraced MongoDB's flexible document data model to scale further and build faster. With more than 31,000 customers — and approaching $1 billion in annualized revenue — MongoDB is leading the disruption in the data infrastructure market.
Making Employees Champions for Cybersecurity Culture
As CISO, I view our employees as our strongest link and our best advocates for cultivating a strong security culture at MongoDB. Security teams can often be perceived negatively internally and with the shift to remote and hybrid working over the last year-plus, we’ve made a very conscious effort to engage and educate our employees. While you can have all the tools in the world, at the end of the day, people are the key to a robust and ever expanding cybersecurity program.
Building on Atlas to Accelerate Sales Efficiency at MongoDB
When it comes to customers and prospects, there is no such thing as having too much data. But it can sometimes seem that way. With so much data on prospects, the challenge is in sorting through it to truly understand which have the highest potential.
Meet Gesa Musiol: Growing Her Career in Customer Success at MongoDB
Gesa Musiol has experienced exponential career growth since joining MongoDB two years ago. Through multiple promotions and a relocation, she’s achieved both personal and professional goals and continues to learn something new every day. I spoke with Gesa to learn more about her MongoDB journey and what’s exciting about being part of our Customer Success organization.
Is Relational the New COBOL? What the History of Technology Tells Us About Change
We all know that technology is continuously evolving — otherwise we’d all be riding around in horse-drawn carriages. But what causes one technology to become dominant while another fades away? Are these changes obvious while they’re in progress, or only in retrospect? And what seismic shifts are happening now?
Solving Complex Technical Challenges with MongoDB’s Technical Services Team
MongoDB's Technical Services team works with our customers to ensure that their MongoDB deployments are running at their best. From a query performance question on a test Atlas cluster to helping upgrade large self-hosted sharded clusters run by some of the world's best-known global enterprises, the Technical Services team is available 24/7 to help our customers with any MongoDB product or feature. This deeply technical team is distributed globally, with a variety of backgrounds and expertise to ensure that they can best address any new issue or question. In addition to solving these complex customer challenges, the team also works on internal projects such as software development of support tools for performance tuning, benchmarking, and diagnostics.
Scale Out Without Fear or Friction: Live Resharding in MongoDB
Live resharding was one of the key enhancements delivered in our MongoDB 5.0 Major Release. With live resharding you can change the shard key for your collection on demand as your application evolves with no database downtime or complex data migrations.
Faster Migrations to MongoDB Atlas on Google Cloud with migVisor by EPAM
As the needs of Google Cloud customers evolve and shift towards new user expectations, more and more customers are choosing MongoDB as an ideal alternative to legacy databases. Together, we’ve partnered with users looking to digitize and grow their businesses (such as Forbes), or meet increased demand due to COVID (such as our work with Boxed, the online grocer) by scaling up infrastructure and data processing within a condensed time frame. As a fully-managed service within the Google Cloud Marketplace, MongoDB Atlas enables our joint customers to quickly deploy applications on Google Cloud with a unified user experience and an integrated billing model. Migrations to managed cloud database services vary in complexity, but even under the most straightforward circumstances, careful evaluation and planning is required. Customer database environments often leverage database technologies from multiple vendors, across different versions, and can run into thousands of deployments. This makes manual assessment cumbersome and error prone.
Starting a Career as a Solutions Architect in MongoDB’s Remote Presales Centre
MongoDB’s Remote Presales Centre is kickstarting presales careers and helping customers unlock the value of MongoDB technology. I spoke with Chris Dowling and Snehal Bhatia to learn more about the Remote Presales Centre Solutions Architect role, how they’re making an impact, and why this is an exciting opportunity for those interested in understanding the intersection of business and technology.
Introducing the MongoDB 5.2 Rapid Release
MongoDB allows you to address a wide variety of data workloads using a single API. Our latest rapid release — MongoDB 5.2 — builds upon this vision with improvements to query ergonomics, enhancements to time series collections (introduced in MongoDB 5.0), scaling, operational resilience, and new capabilities that allow teams to execute more sophisticated analytics in-place.
Revolutionizing Data Storage and Analytics with MongoDB Atlas on Google Cloud and HCL
Every organization requires data they can trust—and access—regardless of its format, size, or location. The rapid pace of change in technology and the shift towards cloud computing is revolutionizing how companies handle, govern and manage their data by freeing them from the heavy operational burden of on-premise deployments. Enterprises are looking for a centralized, cost-effective solution that allows them to scale their storage and analytics so they can ingest data and perform artificial intelligence (AI) and machine learning (ML) operations, ultimately expanding their marketing horizon.
Retail Tech in 2022: Predictions for What's on the Horizon
If 2020 and 2021 were all about adjusting to the Covid-19 pandemic, 2022 will be about finding a way to be successful in this “new normal”. So what should retailers expect in the upcoming year, and where should you consider making new retail technology investments?
Ventana Research's Latest Report Highlights MongoDB's Role as a Cloud Data Platform Provider
Ventana Research, a market advisory and research firm, recently published an Analyst Perspective on MongoDB, noting that the MongoDB data platform provides businesses the ability to accelerate development and data-driven decision-making.
Data and the European Landscape: 3 Trends for 2022
The past two years have brought massive changes for IT leaders: large and complex cloud migrations; unprecedented numbers of people suddenly working, shopping and learning from home; and a burst in demand for digital-first experiences.
Corporate Sales at MongoDB: Meet the Reps
MongoDB Corporate Account Executives sell into some of the world's highest growth and IT-focused companies, with a goal of securing net new logos in organizations of up to 1500 employees. They drive and build solutions that serve the best interest of our customers to help them innovate faster than ever before, often working directly with CTOs, Engineering/IT leaders, and technical end users. A majority of our Corporate Sales team sits in Austin, Texas, with other reps and leaders spread across the U.S. Meet three Corporate Account Executives to learn about their experience in the role and why our Corporate Sales org is a great place to grow your career.
Introducing Pay as You Go MongoDB Atlas on AWS Marketplace
We’re excited to introduce a new way of paying for MongoDB Atlas. AWS customers can now pay Atlas charges via our new AWS Marketplace listing. Through this listing, individual developers can enjoy a simplified payment experience via their AWS accounts, while enterprises now have another way to procure MongoDB in addition to privately negotiated offers, already supported via AWS Marketplace.
Safe Software Deployments: The Goldilocks Gauge
Once upon a time, software was written to magnetic tapes or burned onto CDs and sent to customers through the mail. It was an expensive, time-consuming distribution process — and one that didn’t lend itself to updates. You either got it right or wrong. In fact, these shipments were so high-stakes that the final CD or tape was called “the golden master.” As a result, software companies would typically ship new versions of their software only every two to three years.
MongoDB is One of Battery Ventures' 25 Highest-Rated Public Cloud Computing Companies to Work For
Crain's recently recognized MongoDB as one of the best places to work in New York City. Today, Battery Ventures announced that MongoDB is also one of the best places to work in the cloud; specifically, Battery named us one of the "25 Highest-Rated Public Cloud Computing Companies to Work For." Battery compiles the list based on Glassdoor ratings and reviews left by employees. In other words, MongoDB's inclusion in the recognition depends upon current and past employees rating MongoDB highly.
From Software Developer to Product Manager: Meet Maria van Keulen
Maria joined MongoDB a bit over five years ago and recently transitioned from Software Engineering to Product Management. I had the opportunity to learn about what Maria’s transition was like and how her experiences as a Senior Software Engineer have helped her succeed as a Product Manager.
Log4Shell Vulnerability (CVE-2021-44228, CVE-2021-45046 and CVE-2021-45105) and MongoDB
When MongoDB became aware of the Log4Shell vulnerability (CVE-2021-44228, CVE-2021-45046 and CVE-2021-45105), we began an investigation to determine whether there had been any impact to our products, services or internal systems.
PeerIslands Cosmos DB Migrator Tool to MongoDB Atlas on Google Cloud
When you’re in the midst of innovating, the last thing you want to worry about is infrastructure. Whether you’re looking to streamline inventory management or reimagine marketing, you need applications that can scale fast and maintain high availability. That’s where MongoDB Atlas on Google Cloud comes in.
Five Tips for Creating Your Product Design Portfolio
The UX, Interaction, and Product Design professions have experienced a massive increase in demand as more and more companies embrace technology and recognize the importance of providing a positive user experience. A designer’s portfolio is needed for almost every job application or interview process, regardless of your level of experience, and it should be an accurate representation of your process and craft. If you’re working on your portfolio or starting to interview, here are a few tips to help make your portfolio stand out.
Engineering, Done DIRT Cheap: How an Outdated Data Architecture Becomes a Tax on Innovation
In March 2021, I wrote about The Innovation Tax: the idea that clunky processes and outdated technologies make it harder for engineering teams to produce excellent tech that delights customers. In the months since then, my thinking has evolved even further. I couldn’t have guessed how many technology leaders would immediately recognize these problems in their own organizations and share their own deep frustrations with me. This article puts that evolved thought together with the massive feedback that piece received. It will give you actionable ways to decrease your tax burden — and who wouldn’t want that?
Five Tips for Writing Your Marketing Resume
We are always looking for talented and passionate marketers to join our team at MongoDB, and we want to set you up for success starting at the first step in our recruiting process. No matter how many positions you’ve applied for in the past, it’s always a good idea to refresh your resume for each application. If you’re interested in applying to our Marketing team, take a look at my tips for writing an impactful resume.
Announcing Google Private Service Connect (PSC) Integration for MongoDB Atlas
We’re excited to announce the general availability of Google Cloud Private Service Connect (PSC) as a new network access management option in MongoDB Atlas. Announced alongside the availability of MongoDB 5.1, Google Cloud PSC is GA for use with Altas. See the documentation for instructions on setting up Google Cloud PSC for Atlas, or read on for more information.
Sales Development Series: Meet the North America Sales Development Team
Sales Development is a crucial part of the Sales organization at MongoDB. Our Sales Development function is broken down into Sales Development Representatives (SDRs), who qualify and validate inbound opportunities from both existing and prospective customers, and Account Development Representatives (ADRs), who support outbound opportunities by planning and executing pipeline generation strategies. Both of these roles offer an excellent path to kickstarting your career in sales at MongoDB.
Make Migrating to MongoDB Atlas on AWS Easy with PeerIslands Modernization Tool Set
As cloud computing becomes commonplace across industries, organizations are rapidly adopting MongoDB Atlas because they know that true modernization is about more than just moving data as-is to the cloud—i.e. taking a “lift and shift” approach. It’s also about remodeling that same data along the way for faster and more iterative development. With MongoDB’s document-based database, developers are empowered to reimagine how they build with flexible schema design that allows them to easily model and remodel data for a wide range of use cases, while still applying governance when needed.
Safe Software Deployments: Z Deployments
If you’ve gotten this far in my Safe Software Deployment series, you know how scary deployment day can be. Sleepless nights. Knots in the stomach. Cold sweats. These are the symptoms of uncertainty. And three decades of experience have taught me that all the positive thinking in the world won’t ensure a bug-free deployment.
Real-time Applications Made Simple with MongoDB and Redpanda
MongoDB has a long history of advocating for simplicity and focusing on making developers more agile and productive. MongoDB first disrupted the database market with the document model, storing data records as BSON (binary representation of JSON documents). This approach to working with data enables developers to easily store and query their data as they use it naturally within their applications. As your data changes, you simply add an attribute to your documents and move on to the next ticket. There is no need to waste time altering tables and constraints when the needs of your application change.
Driving Innovation with MongoDB Atlas on Google Cloud
MongoDB Atlas and Google Cloud’s global partnership continues to set the standard for cloud modernization across industries. Our joint solution helps customers modernize their database stack when they migrate their infrastructure to the cloud, ultimately boosting developer productivity and reducing total cost of ownership (TCO) while giving customers access to state-of-the-art analytics and the machine learning capabilities of Google Cloud. Our partnership is producing plenty of exciting developments—read on to learn more about our joint awards, latest integrations, and what’s next.
How to Prepare for Your Engineering Interview at MongoDB
MongoDB’s Engineering team is full of creative individuals who play an impactful role in building our industry-leading technology. Our interview process is designed to ensure that you and MongoDB are a great match, and, no matter how many interviews you have done in the past, being prepared is the key to being successful. At MongoDB, we do our best to make sure you have a great interview experience and an opportunity to learn about our company, culture, and the people you will be working with. To help you prepare for your technical interviews, we want to share some tips.
Safe Software Deployments: Overcoming the Fear and Loathing of Pushing to Prod
Over the course of my career, I’ve had the privilege of deploying many different types of software. I’ve shipped CDs. I’ve pushed customer software over the web. I’ve updated database instances and control planes. And I’ve live-updated large, running, mission-critical systems.
Safe Software Deployments: The 180 Rule
In my last post, I talked about the anxiety developers feel when they deploy software, and the negative impact that fear has on innovation. Today, I’m offering the first of four methods I’ve used to help teams overcome that fear: The 180 Rule.
Get Started in No-Code App Development with Unqork and MongoDB
Classic application development can be a long haul process. Even using Agile methodologies, teams of developers still work to build, test, and launch applications in a series of sprints, using many of the same programming languages and approaches as they have for years.
MongoDB is a Crain's Best Place to Work in NYC for the Fifth Year in a Row
We’re thrilled to announce that MongoDB has made Crain’s 2021 Best Places to Work in New York City list. This is the fifth year in a row that we’ve ranked among Crain’s top 100 companies in New York City, coming in at #29 for 2021. Among large companies specifically, MongoDB ranks #14 out of 47.
Accelerate App Delivery with Cognizant's Next Gen Continuous Integrator
The phrase “digital transformation” is ubiquitous these days. But what does it actually mean? Often, the heart of a successful digital transformation lies in a company’s ability to migrate data from legacy systems to the cloud for easier access while also updating relevant applications quickly and seamlessly to deliver the most optimal experience to customers and end-users.
MongoDB Atlas for Government Achieves "FedRAMP In-process"
We are pleased to announce that MongoDB Atlas for Government has achieved the FedRAMP designation of “In-process”. This status reflects MongoDB’s continued progress toward a FedRAMP Authorized modern data platform for the US Government. Earlier this year, MongoDB Atlas for Government achieved the designation of FedRAMP Ready.
How to Prepare for Your Sales Interview at MongoDB
At MongoDB, our Sales team is growing rapidly as we strive to build a salesforce with a legendary reputation of excellence and integrity. Although we are eager to add new reps to our team, we are focused on ensuring we hire the right people for the job and that we’re the right company for you, too! Because of this, our interview process may not be as quick or look the same as other companies’. We feel confident that we’ve designed our interviews to uncover a mutually beneficial opportunity that will allow anyone who joins the team to look back on their time at MongoDB as a career-defining point in their lives.
Preparing for Your Customer Success Interview at MongoDB
We’re thrilled that you’re interested in interviewing for a Customer Success role at MongoDB! Preparing for an interview can often feel overwhelming, but there are several steps you can take to prepare yourself for a successful interview with our Customer Success team.
Four Tips for Writing and Applying with Your Engineering Resume
At MongoDB, we’re always looking for creative and passionate engineers who want to make an impact on the world. If you’re interested in a role on our Engineering team, we encourage you to apply! Before doing so, here are a few things you can do to make your engineering resume stand out at MongoDB.
A Guide to Freeing Yourself from Legacy RDBMS
Oracle introduced the first commercial relational database (RDBMS) to the market in 1979 — more than a decade before the World Wide Web. Now, digital transformation is reshaping every industry at an accelerating pace. In an increasingly digital economy, this means a company's competitive advantage is defined by how well they build software around their most critical asset — data.
Highlight What Matters with the MongoDB Charts SDK
We're proud to announce that with the latest release of the MongoDB Charts SDK you can now apply highlights to your charts. These allow you to emphasize and deemphasize your charts with our MongoDB query operators. Build a richer interactive experience for your customers by highlighting with the MongoDB Charts embedding SDK.
MongoDB Atlas as a Data Source for Amazon Managed Grafana
Amazon Managed Grafana is a fully managed service that is based on open source Grafana. Amazon Managed Grafana makes it easy to visualize and analyze operational data at scale. With Amazon Managed Grafana, organizations can analyze data stored in MongoDB Atlas without having to provision servers, configure or update software, or do the heavy lifting involved in securing and scaling Grafana in production.
From Solutions Architect to Enterprise Account Executive: How Julian Storz is Growing His Career at MongoDB
MongoDB empowers employees to transform their careers by growing in the direction they want. One of the ways we do this is through our many internal transfer opportunities. Hear from Julian Storz about his transfer from Solutions Architect to Enterprise Account Executive and how he became the inspiration behind the MongoDB Lego person along the way.
Simplifying Data Migrations From Legacy SQL to MongoDB Atlas with Studio 3T and Hackolade
Migrating data from SQL relational databases to MongoDB Atlas may initially seem to be a straightforward process. Export the data from the relational database, import the tables into MongoDB Atlas, and then start writing queries for it. But the deeper you look, the more it can start to feel like an overwhelming task.
Data Movement from Oracle to MongoDB Made Easy with Apache Kafka
Change Data Capture features have existed for many years in the database world. CDC makes it possible to listen to changes to the database like inserting, updating and deleting data and have these events be sent to other database systems in various scenarios like ETL, replications and database migrations. By leveraging the Apache Kafka, the Confluent Oracle CDC Connector and the MongoDB Connector for Apache Kafka, you can easily stream database changes from Oracle to MongoDB. In this post we will pass data from Oracle to MongoDB providing a step by step configuration for you to easily re-use, tweak and explore the functionality.
MongoDB & Bosch: Discussion on AIoT
For more than a decade, the digital transformation of industry has been focused on the technologies that make up the Internet of Things (IoT). As AI and machine learning tech mature, a new field has appeared that combines these trends: AIoT, the Artificial Intelligence of Things, which applies AI to the data collected by IoT devices. Among the firms pioneering this space is the engineering and industrial giant Bosch, which has long been a leader in IoT.
Digital Transformation with MongoDB Atlas and Accenture Cloud First: Three Use Cases for Cloud Modernization
Choosing which providers to partner with when moving to the cloud is a critical first step in pivoting to meet this new field of opportunity. Together, MongoDB and Accenture deliver deep expertise, proven success, and the right balance of experience across industries. Here’s how—and where—we can help.
The Rise of the Strategic Developer
The work of developers is sometimes seen as tactical in nature. In other words, developers are not often asked to produce strategy. Rather, they are expected to execute against strategy, manifesting digital experiences that are defined by the “business.”
4 Common Misperceptions about MongoDB
One year ago, in the middle of the pandemic, Dev Ittycheria, the CEO of MongoDB, brought me on as Chief Technology Officer. Frankly, I thought I knew everything about databases and MongoDB. After all, I’d been in the database business for 32 years already. I’d been on MongoDB’s Board of Directors and used the products extensively. And of course I’d done my due diligence, met the leadership team, and analyzed earnings reports and product roadmaps.
Congratulations to the 2021 Innovation Award Winners!
The MongoDB Innovation Awards honor projects and people who dream big. They celebrate the groundbreaking use of data to build compelling applications and the creativity of professionals expanding the limits of technology with MongoDB. This year the company received entries across dozens of industries, ranging from disruptive, emerging start-ups to industry-leading global enterprises.
MongoDB Partner of the Year Award Winners 2021
The last 12 months have been a remarkably challenging time, with widespread changes affecting the entire world—and certainly the IT industry—like never before. However, the pandemic has also brought customers and partners further together to solve common problems, and in particular, one major trend we’ve seen accelerated is the move toward cloud modernization. At MongoDB, we’re committed to help our customers evolve to this next stage of necessary innovation and are so grateful to our 1000+ Partners who help make it happen.
Meet MongoDB's 2021 Sydney Storage Engines Interns
Last December, in the height of the COVID-19 pandemic, the MongoDB Campus Team successfully completed a virtual recruitment season for the first time in the program’s history. An important part of those new recruits were the Sydney Storage Engines Team interns. Our Storage Engines team was created by way of acquisition and contributes to the performance, scalability, and hardware efficiency of MongoDB.
The Future is Inclusive: Meet The Queer Collective, MongoDB's Affinity Group for the LGBTQIA+ Community & Allies
MongoDB affinity groups are employee-led resource groups that bring together employees with similar backgrounds, interests, or goals. They play an important role in our company and culture. Our affinity groups build community and connections, help us raise awareness of issues unique to members’ experiences, and offer networking and professional development opportunities.
Meet Our Growing Flex Consulting Team
In this blog post, Aman Kumar, Director of Flex Consulting, writes about the growing Flex Consulting team within our Professional Services organization. Aman and some of his team members give insight into the Consulting Engineer role; what you can expect in terms of training, learning opportunities, and team culture; and why this is an exciting career opportunity.
Why It's an Exciting Time to Join MongoDB's Expanding Australian Location
Although MongoDB is headquartered in New York City, our company has offices spanning the Americas, Europe, the Middle East, Africa, and Asia-Pacific. MongoDB is currently made up of more than 2,900 employees, and we are continuing to grow.
Built With MongoDB: Antler
Antler is a global early-stage venture capital firm that invests in the defining technology companies of tomorrow. The firm has offices in 13 cities worldwide, across six continents. Founded in Singapore in 2017, Antler is on a mission to fundamentally improve the world by enabling and investing in the world's most exceptional people. Since its launch, Antler has invested in and helped build over 250 companies. Antler enables exceptional people to build impactful technology startups by building complementary teams, supporting the teams with deep business model validation, and providing a global platform to scale their startups — and that’s why we’re thrilled to announce the firm’s partnership with MongoDB for Startups.
Application Modernization with gravity9 And MongoDB Atlas: How Digital Decoupling Supports the Customer Offering
The goal of most organizations is pretty clear: to improve customer offerings and become more operationally efficient, streamlined and profitable. But is it possible for organizations to excel in an agile fashion when they are reliant upon legacy systems? It’s the age-old dilemma between risk and innovation. How can you mitigate the former while accelerating the latter?
Built With MongoDB: Italic
Derek Tu and Jeremy Cai, two high school friends from the Chicago suburbs, began aspiring to become entrepreneurs at a young age. Their pursuits took them to Babson College, where they overlapped until Jeremy received a Thiel Fellowship and dropped out of school to build his first startup.
Infosys Media Platform & MongoDB: Metadata Management and Workflow Orchestration Across Media Supply
Capitalize on current and innovative technologies in the media supply chain with the Infosys Media Platform (IMP). As a part of the cloud and cloud-based Infosys Cobalt™ portfolio, Infosys’ unifying framework, built on MongoDB Atlas and MongoDB Enterprise Advanced, helps you facilitate creative collaboration, enable productions on an industrial scale, and monetize customer relationships. How? By integrating the various ecosystems involved and providing a common platform to connect you to services and technology solutions for the media content value chain.
Distinguish Data, Get Insights Faster with Conditional Formatting in Charts
The latest release of MongoDB Charts adds Conditional Formatting; an exciting new feature that enables chart authors to highlight important changes in their chart data, based on a set of rules that they define. Conditional Formatting rules can be applied to table charts and number charts.
How DataSwitch And MongoDB Atlas Can Help Modernize Your Legacy Workloads
Data modernization is here to stay, and DataSwitch and MongoDB are leading the way forward. Research strongly indicates that the future of the Database Management System (DBMS) market is in the cloud, and the ideal way to shift from an outdated, legacy DBMS to a modern, cloud-friendly data warehouse is through data modernization.
MDBWomen: A Look into MongoDB’s Affinity Group for Women-Identifying Employees
MongoDB affinity groups are employee-led resource groups that bring together employees with similar backgrounds, interests, or goals. They play an important role in our company and culture. Our affinity groups build community and connections, help us raise awareness of issues unique to their members’ experiences, and offer networking and professional development opportunities.
How to Get Started with MongoDB Atlas and Confluent Cloud
Every year more and more applications are leveraging the public cloud and reaping the benefits of elastic scale and rapid provisioning. Forward-thinking companies such as MongoDB and Confluent have embraced this trend, building cloud-based solutions such as MongoDB Atlas and Confluent Cloud that work across all three major cloud providers.
The Difference Between R and D
I used to believe that Research and Development (R&D) departments should work in lockstep with Product teams so that they can stay focused on commercially-viable innovations. After all, not every innovation has a market, and not every business has resources to bet on future markets.
Introducing: Atlas Operator for Kubernetes
The MongoDB Enterprise Operator serves to automate and manage MongoDB clusters on self-managed infrastructure. While this integration has provided complete control over self-managed MongoDB deployments from a single Kubernetes control plane, we’re taking it a step further by extending this functionality to our fully-managed database—MongoDB Atlas. We’re excited to introduce the trial version of the Atlas Operator for Kubernetes.
Built With MongoDB: Gryphon Online Safety
As friends and coworkers at an IoT company, John Wu and Arup Bhattacharya used to commiserate about the perils the internet posed for their children. It’s a problem most parents can relate to—especially now, when some children spend more than seven hours a day online. One day, John’s daughter saw something online that horrified him, and he and Arup decided they wanted to help bring the internet back into the hands of parents so they could curate online content for their children.
How Three College Friends Became MongoDB Coworkers
Siya Raj Purohit, Chaitanya Varanasi, and Sohail Shaikh first met while attending the University of Texas at Austin (UT Austin) as undergraduate students. Five years after graduating, they found themselves brought together again — this time by MongoDB. I recently sat down with Siya, Chai, and Sohail to talk about this friendship that has been sustained through divergent career paths and continues to grow alongside their roles at MongoDB.
Think Big, Go Far with the MongoDB Customer Success Team
Customer Success Managers (CSMs) play an integral role at MongoDB by providing our customers with the tools and guidance they need to make an impact on the world with their applications. Our Customer Success team is made up of employees from all around the world and collectively speaks 10 languages. Stay tuned to learn more about how the team has grown over the years and get insights into what a day in the life of a CSM at MongoDB is really like.
Built With MongoDB: Stoovo
When Hantz Févry and Pierre Mombeleur first met, they wouldn’t have guessed they’d one day become co-founders. As students at the same high school in Haiti, they weren’t particularly close. There was no noticeable chemistry when they faced off in a music competition either, and they maintained only a passing acquaintance on Twitch.
Meet Some of MongoDB’s Influential Women Leaders in 2021
Each year, MongoDB highlights some of our most influential leaders in celebration of International Women’s Day. These women are making a huge impact on their teams and the company, have grown their careers at MongoDB as managers, and inspire us every day.
Optimize Data Modeling and Schema Design with Hackolade and MongoDB
Development teams are constantly searching for new ways to quickly enhance applications and satisfy the rapid progression of customer needs. The dynamic schema evolution in MongoDB enables such a reality through the power and flexibility of storing data in a JSON document format instead of in relational tables. As application complexity and scale increase in an enterprise environment, this flexible schema can be skillfully organized to harness the power of the solution, maximize developer productivity, and lower the total cost of ownership.
Switching Teams and Beginning a New Career as a Solutions Architect: Meet Idriss Ouazzani
I sat down with Idriss Ouazzani, a Solutions Architect (SA) based in France, to gain a deeper understanding of his fast track to success, rising from Customer Success Manager (CSM) to his current SA role in less than two years. We also spoke about his upbringing in Morocco, his deep love of learning, and the ways in which MongoDB has kept him motivated and energized.
The Evolution of Data
It used to be so simple. Not that long ago, the universe of corporate data was a fraction of its current size. We fit most of it into rigid little rows and columns. And we didn’t ask all that much of it: some transaction processing, a few charts and graphs, a little business intelligence.
Transitioning from Teacher to MongoDB’s Industry Solutions Team: Meet Gabriela Preiss
As a global company, MongoDB has amazing employees with interesting backgrounds and stories. I recently sat down with Gabriela Preiss, a Senior Industry Solutions Consultant, to learn more about her journey across the globe from the U.S. to Barcelona, Spain, and her experience transitioning from teaching to becoming the first hire for MongoDB’s brand-new Industry Solutions Team, shifting enterprises toward innovation and generating a ton of compelling content along the way.
Australian Start-Up Ynomia Is Building an IoT Platform to Transform the Construction Industry and its Hostile Environments
The trillion dollar construction industry has not yet experienced the same revolution in technology you might have expected. Low levels of R&D and difficult working environments have led to a lack of innovation and fundamental improvements have been slow. But one Australian start-up is changing that by building an Internet of Things (IoT) platform to harness construction and jobsite data in real time.
Capgemini Solutions that help customers modernize applications to MongoDB
Companies across every industry vertical continue to face the challenge of how to effectively migrate and quickly access massive amounts of enterprise data—all while keeping system performance up to par throughout the obstacle-ridden process.
MongoDB Hires for Sales Academy Program
We’re thrilled to be hiring for MongoDB’s Sales Academy program! This program prepares emerging professionals with the training and experience they need to jumpstart a career in sales. We’re looking for recent college graduates and career changers with an interest in technology to join our rapidly growing sales team.
Built With MongoDB: Spectro Cloud
Recently named one of the hottest Kubernetes startups, Spectro Cloud has been making waves across the tech ecosystem. An enterprise cloud-native infrastructure founded by three startup veterans, Spectro Cloud makes Kubernetes manageable at scale for enterprises that need manageability and flexibility.
Add Interactivity to Your Embedded Analytics with Click Events
MongoDB Charts’ data visualizations can now become more interactive, so users and stakeholders can dive deeper into the insights they care more about. That’s possible with a new feature currently in preview with support for most Charts types: click events.
Imposter Syndrome and Public Speaking: 5 Tips for a Successful Tech Talk
I've done hundreds of presentations at large and small events. I’ve delivered keynotes in front of a thousand people. You probably think I enter the stage each time with full confidence that I’ll give a solid and engaging presentation. You’re wrong.
Built With MongoDB: Coursedog
Nicholas Diao and Justin Wenig had just joined the undergraduate program at Columbia University and were excited to take their first computer science class. They registered and, to their delight, were accepted into the course. When they showed up to the first class, however, they were greeted with distressing news: the class was double-booked. As they quickly discovered, their situation was hardly unique. Universities, such as their own, often lack the software to manage the complexities of class scheduling. They decided to fix that.
MongoDB and BigID Deliver Scalable Data Intelligence for Enterprise Data
Data never sleeps. Every time someone clicks on a site or sign-up for a newsletter, bytes are created or tracked, in the staggering amount of more than 2.5 quintillion every day. All that data is a key business driver and the foundation for decision-making, but most enterprises aren’t even aware of everything they’re collecting, or where it’s stored. As global protection and privacy regulations evolve and the sheer amount of data grows, they’re struggling to keep up.
Built With MongoDB: Price.com
A few years ago, RJ Jain moved to San Francisco and wanted to buy a couch for his new apartment. Shortly after making an online purchase for a new couch, he found a listing for the exact same couch, previously owned, on another site for half the retail price.
Built With MongoDB: Interseller
We all think our jobs are hard. But if you’re a recruiter, you know just how tough it is to place people into those jobs: the average response rate to recruiters is an abysmal 7%. Enter Interseller, a fast-growing NYC-based SaaS company in the recruiting tech space.
Simplifying Data Science with Iguazio and MongoDB: Modernization with Machine Learning
For the most innovative, forward-thinking companies, “data” has become synonymous with “big data” — and “big data” has become synonymous with “machine learning and AI.” The amount of data you have is raw knowledge. The ability to connect the dots in a cohesive picture that lets you see major projections, personalizations, security breaches, etc., in real time — that’s wisdom.
Accelerating Mainframe Offload to MongoDB with TCS MasterCraft™
Tata Consultancy Services (TCS), a leading multinational information technology services and consulting company, leverages its IP-based solutions to accelerate and optimize service delivery. TCS MasterCraft™ TransformPlus uses intelligent automation to modernize and migrate enterprise-level mainframe applications to new, leading-edge architectures and databases like MongoDB. In this blog, we’ll review the reasons why organizations choose to modernize and how TCS has made the process easy and relatively risk-free.
Introducing Multi-Cloud Clusters on MongoDB Atlas
One of the core pillars of MongoDB is the freedom to run anywhere. Since 2017, organizations have been able to use MongoDB Atlas, our fully managed global cloud database, across 70+ regions on the cloud provider of their choice: AWS, Azure, or Google Cloud. We’re increasingly seeing customers run independent workloads on different clouds — a common practice among enterprises with different applications and business units. However, we believe the real power of multi-cloud applications is yet to be realized in our industry.
1Data - PeerIslands Data Sync Accelerator
Today’s enterprises are in the midst of digital transformation, but they’re hampered by monolithic, on-prem legacy applications that don’t have the speed, agility, and responsiveness required for digital applications. To make the transition, enterprises are migrating to the cloud. MongoDB has partnered with PeerIslands to develop 1Data, a reference architecture and solution accelerator that helps users with their cloud modernization.
Getting started with MongoDB, PySpark, and Jupyter Notebook
Jupyter notebook is an open source web application that is a game changer for data scientists and engineers. A simple web UI that makes it simple to create and share documents that contain live code, equations, visualizations and narrative text. The Jupyter notebook has now evolved into JupyterLab. This new web-based interactive development environment takes Jupyter notebooks to a whole new level by modularizing the environment making it easy for developers to extend the platform and adds new capabilities like a console, command-line terminal, and a text editor.
Legacy Modernization Leveraging MongoDB and Infosys iDSS
Large enterprises need to refresh their digital strategies to handle the growing demand, emerging competition, and ground dynamics. Infosys and MongoDB started working jointly to help these large organizations reach their full potential by focusing on data modernization.
Optimizing DataOps in the Cloud with Zaloni and MongoDB
Migrating from on-premises to cloud-based data management is not a trivial task. To get the most benefit from new analytical and operational use cases, you’ll need a solid foundation in data management and a DataOps strategy with a strong focus on governance.
Schools in shutdown: How Sanoma Learning and MongoDB Atlas kept teaching as classes went virtual, supporting growth to 12 Million exercises daily
Enterprise IT is awash in buzzwords: scalability, performance, responsiveness. If you worry about databases, you’ll have words like these etched on your eyeballs. Sometimes, though, they stop being words and become critical realities — not to be rolled out over months of planning and testing, but things that must work, if not this hour, then the next. And not just for your company, but for everyone who relies on you.
Breaking the Stigma Around Mental Health: Meet Yulia Genkina
Yulia Genkina is a Curriculum Engineer on the Education team at MongoDB. In her day-to-day, she creates new educational experiences for others to learn how to use MongoDB. She loves what she does because she believes that access to learning should be free and available to everyone. Before working at MongoDB, she used to teach in a public school in New York City. Yulia is also an advocate for mental health and sat down with me to share her experiences and why she believes we need to break the stigma that surrounds mental healthcare.
Intern Series: Five Reasons Why You Should Attend MongoDB’s Open House
Hi, my name is Yuhong Zhang! I’m an international student from Beijing. I did my undergrad in Computer Science at New York University and I’m now continuing my studies at Carnegie Mellon University. Last summer, I attended MongoDB’s Annual Summer Open House at their NYC headquarters in order to learn about MongoDB’s intern program and meet the MongoDB Campus Recruiting team. The Open House was an unforgettable experience and I had the opportunity to meet some amazing people. Deeply inspired, I applied to MongoDB’s internship program and now I’m here working on the Storage Execution Team within our Core Server department.
How Liberty Mutual Accelerates Application Delivery with the Cloud, Infrastructure as Code, and MongoDB Atlas
As one of the world’s largest insurance companies, Liberty Mutual understands that the applications it builds defines its success. It relies on modern technology to provide fast and accurate insurance information and products to its customers and partners.
Using Azure Event Hubs with MongoDB and the MongoDB Connector for Apache Kafka
Apache Kafka is an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation in 2011. One of Kafka’s core capabilities is its ability to ingest massive amounts of data in a distributed architecture. This makes it easy to scale out and address big data use cases like IoT, data pipelines, and other real-time data systems.
MongoDB’s Summer Internship Program in Sydney, Australia
In December, 2019 we launched our second summer internship program in our Sydney, Australia office. We were so proud to welcome our 2019 Sydney interns Angus Lee, Jeremy Tay, and Giuliano Celani. I sat down to interview Angus, Jeremy, and Giuliano to learn more about their experience and what they learned throughout their internship at MongoDB.
With Atlas Data Federation, Segware tames growing demands of security companies affordably
Companies in the security and monitoring market capture and analyze data from cameras, alarm panels and other security devices to help keep their customers safe. That means using a security management platform to manage data about alerts, events, and service calls.
Cloud Native Enterprise Data Management with Tardigrade for MongoDB
MongoDB and Tardigrade are excited to collaborate and demonstrate managing data backups and migrations across multiple computing and storage platforms with enterprise security and SLAs. Tardigrade, the new S3-compliant storage solution from Storj Labs, can easily be configured to store all your database backups and snapshots from MongoDB Ops Manager, the management platform for enterprise MongoDB deployments. In this post, we’ll give an overview of how all this works in cloud-native environments. For this, we’ll install the entire MongoDB Enterprise stack into a Kubernetes cluster along with a small gateway app from Tardigrade and we’re ready to go!
Peek at your MongoDB Clusters like a Pro with Keyhole: Part 3
In part 3 of this blog post, you will learn about Keyhole's new Full Time Diagnostic Data Capture (FTDC) Assessment panel and how FTDC scoring works. In the previous two parts of this blog, part 1 and 2, we discussed how to use Keyhole and Maobi to analyze MongoDB clusters. One of the most exciting features is the visualized presentation of FTDC data. Understanding these charts is similar to following the shadow of the moon, which has 30 different shapes and even more different shades of gray. Interpretations of these FTDC charts could also be subjective and relatively time-consuming, and thus I added a scoring feature to help identify potential problems quickly.
Seamlessly move data between Confluent Cloud and MongoDB Atlas!
Confluent Cloud is a fully managed event streaming platform powered by Apache Kafka®. Similar to MongoDB Atlas, Confluent Cloud is available on all three public cloud providers (AWS, Azure and GCP) and gives you an easy way to spin up fully automated Kafka clusters within minutes and without the need to provision and manage any infrastructure.
How to Land a Corporate Sales Role at MongoDB
As the VP of Corporate Sales in the Americas at MongoDB, I’ve seen a lot of growth and positive change. When I first joined MongoDB, we were pre-IPO but the opportunity in the database market and what MongoDB was doing to disrupt it was obvious. In the three years since, we’ve more than tripled the size of the team, changed our go-to-market strategy, and increased productivity by doubling the number of bookings on average made by Account Executives.
Singapore to Nebraska to New York: My Experience As An Asian American Woman In Tech
In honor of Asian Pacific American Heritage Month, I sat down with Monica Lu to learn more about her family’s history and how it has turned her into the strong role model she is today. Monica is a Senior Analyst, Sales Analytics on our Sales Operations team — take a look at her story.
Stack Overflow Research: MongoDB is the Database Most Wanted by Developers
Stack Overflow has just published its annual developer survey, and the results, as ever, provide compelling insights. This is also the 4th consecutive year MongoDB has been rated as the database most wanted by developers.
How to Build a Customer Success Team in Six Steps: My MongoDB Journey
It was the summer of 2016. I was standing in a board meeting about to present my strategy for how I was going to build a Customer Success (CS) program at MongoDB. My heart was beating out of my chest. I was three months pregnant with my first child and had only 6 months to get the program off the ground.
Introducing MongoDB for VS Code
In the past few years, VS Code has grown in popularity and became the most used code editor for developers. Its extensibility makes it possible to customize the coding experience and tailor it to the languages, frameworks, and services developers use to build applications.
Accenture & MongoDB Partner to Help Customers Move From Legacy DBs to MongoDB Atlas in the Cloud
As part of the Data on Cloud initiative, Accenture has developed an Accelerator named Smart Data Mover (SDM). SDM is a toolkit designed to transition data from on-premise data warehouses to cloud data repositories. MongoDB and Accenture are excited to announce that SDM now has the capability to move data from RDBMS to MongoDB Atlas in the cloud. Accenture and MongoDB are long-standing, strategic partners and this investment is another addition to our toolkit to help joint customers.
Why Now is a Cool Time to Be Different: A Q&A with Steph Johnson
In honor of Autism Awareness month in April, our Diversity and Inclusion team led a session for our employees called “Decoding Inclusion” to discuss neurodiversity. During the session, Steph Johnson, VP Corporate Comms, shared her experiences of living with Tourette Syndrome. After the event, I sat down with Steph to learn more about her career path and how Tourette’s has impacted her life.
Design Case Study: MongoDB Cloud Navigation Redesign
Taking on a product redesign is always a lofty, ambitious goal for any company, but fundamentally MongoDB wanted to remedy some pain points we’ve been hearing from our customers and internal users around the hierarchy of our products. Over the past year and a half, we have been working on a redesign of our MongoDB Cloud platform that aims to solve customer problems and give us room to scale in the future when we release new products and features.
Meet our Product Design Team: Part 2
Here is part two of our “Meet Our Product Design Team” series (part one can be found here). We compose the brand/visual, product design, research, education, developer relations, and design systems teams scattered across the company worldwide. If you’re interested in joining our team, learn more about what it's like to work here first-hand from our designers below
Meet our Product Design Team: Part 1
At MongoDB, our design philosophy (centered on clarity, integrity, inclusiveness, consistency, and automation) is ingrained across all of our design teams. As a whole, we’re composed of individuals in brand/visual, developer relations, design systems, education, product design, and user research. Our collaborative design process focuses on pillars of rigor, passion, and impact—not to mention, lots of cake to celebrate everyone’s birthdays.
Launching MongoDB's Women's Group in India
In September 2019, Neha Mukherjee and Palki Sood joined forces to pursue a passion project — creating a local Women’s Group chapter for MongoDB employees in our Gurugram, India office. While MongoDB offers a global Women’s Group, Neha and Palki locally took the India-based Women’s Group to new levels by engaging employees with monthly events and building a strong, inspiring support network for its members. In this interview, you will learn more about how the group was formed, what its mission is, and get a taste for our incredible work culture in India.
Video: Toyota Material Handling and Industry 4.0 – Creating a Smart Factory By Moving from Monolith to Microservices, Microsoft Azure and MongoDB Atlas
Huge wheels of cheese trundle across a factory floor riding automated forklifts that know exactly where, when and how to move their cargo. Humans and their traditional forklifts support the work for some of the more tricky jobs but the real magic at the heart of this operation is how billions of data points get generated, managed, stored and analysed.
Meet Some of MongoDB’s Influential Women Leaders in 2020
In celebration of International Women's Day, we are highlighting some of our most influential leaders at MongoDB. They are making a huge impact on their teams and the company as a whole. Here are a few who have grown their careers at MongoDB and inspire us every day.
Upgrade Guide for Terraform MongoDB Atlas 0.4.0
As you might have noticed in our announcement blog, we added a lot in the newest version of the Terraform MongoDB Atlas Provider. In order to make the transition to 0.4.0 as smooth as possible, we’ve crafted this short guide to call out a few of the most potentially impactful changes and provide guidance on how to proceed.
Making an Impact as a Solution Architect at MongoDB - Meet Winston Vargo
In this interview, you will get the chance to meet Winston Vargo, who is an Enterprise Solutions Architect (SA) in New York City. Winston walks us through some of the most exciting projects he’s worked on so far and explains what it’s like to be an SA at MongoDB.
My Experiences as a Senior Solutions Architect and a Mother on Parental Leave: Meet Veronica Tudor
In this interview, you will meet Veronica Tudor, Senior Solutions Architect in Dublin. Veronica speaks about how this role compares to her previous ones, and she also opens up about her maternity leave, and how she’s grown both personally and professionally at MongoDB.
Performance Best Practices: MongoDB Data Modeling and Memory Sizing
Welcome to the first in a series of blog posts covering performance best practices for MongoDB. In this series, we will cover key considerations for achieving performance at scale across a number of important dimensions, including:
Intern Series: Making an Impact as an Intern on MongoDB’s Driver Team
Sam Pal is a Computer Science major and Technology and Management minor at the University of Illinois at Urbana-Champaign. Her first foray into technology was a Girls Who Code immersion program one summer in high school, and she’s been committed to activism and technology ever since. In this interview, you will hear about Sam’s experiences as an engineering intern on MongoDB’s Driver team.
How to Rock Your Customer Success Interview at MongoDB
As the Global Director of Customer Success (CS), I have seen the team grow astronomically over my 2 years at MongoDB. Since joining, I’ve more than tripled the global team and now have over 30 Customer Success rockstars, including leaders, across 4 offices. I could not be more proud of this growth, how we’ve boosted our technical knowledge and I love seeing how the CS program at MongoDB has evolved over the years.
Enhanced Network Security with AWS PrivateLink and MongoDB Atlas
Your data security is our highest priority. That’s why we built MongoDB Atlas to be secure by default, offering essential controls, advanced capabilities, and sophisticated integrations to satisfy even the strictest of data security and compliance standards. Our latest integration brings you an additional option for enhanced security with AWS’s rapidly popularized service: AWS PrivateLink.
PayPal for Atlas - The Newest Way to Pay for fully-managed MongoDB
We've made it easier than ever to use paid-for MongoDB Atlas services with the addition of PayPal as a payment method. Now, as well as select credit cards, you can use PayPal's flexible payment processing to pay for your fully managed MongoDB hosting and enjoy all the power of MongoDB Atlas and available in over 66 regions and 22 countries around the world.
Tuning MongoDB & Linux to allow for tens of thousands connections
My manager at a previous employer once described Red Hat (RHEL) as "optimized for consulting". (By implication this includes Centos and Amazon Linux too.) His point was that for whatever reason, RHEL ships with default ulimit and other configurations that are appropriate for your laptop, and to really get the full performance of a large production server you need to do a lot of tuning to increase various limits and buffers. This creates a lucrative market for consultants that know all the knobs that need turning.
Ticketek Combines MongoDB Atlas and Google Cloud to Drive Analytics
Selling 30 million tickets a year and with 16 million fans in its customer base, Ticketek is a prime example of a company creating colossal amounts of data every day. They knew with their 40 years experience in the business that they wanted to capture that data and derive meaningful insights from it and the tools they chose to drive that come from the MongoDB ecosystem. How did they do it?
Paging with the Bucket Pattern - Part 1
Have you ever noticed that moving through pages slows down as you view higher and higher numbered pages? Application designers work with pages frequently yet this problem persists. So what's the solution? Use a flexible, easy-to-use data model. MongoDB provides powerful ways of modeling data that make paging fast and efficient. Today, we’re going to explore paging through large amounts of data quickly and easily.
Getting started with the MongoDB Connector for Apache Kafka and MongoDB Atlas
Apache Kafka is an event streaming solution designed for boundless streams of data that sequentially write events into commit logs, allowing real-time data movement between your services. MongoDB is the world’s most popular modern database built for handling massive volumes of heterogeneous data. Together MongoDB and Kafka make up the heart of many modern data architectures today.
JSON Schema Validation - Dependencies you can depend on
In Part 1 of this series, we explored how to get started with JSON Schema Validation in MongoDB. We looked at how to define a schema, require specific properties in that schema, and assign types to those fields. In Part 2 we took a look a deeper look at how to validate unique array objects. In this last part of the Schema Validation series, I’d like to take a look at how to make properties in a schema dependent on other properties.
MongoDB Atlas is available through the Google Cloud Platform Marketplace
In April, we announced that MongoDB Atlas, our fully-managed global cloud database service, will be integrated directly with the Google Cloud Platform (GCP) Console and Marketplace to provide joint customers of MongoDB and GCP a number of new benefits. With MongoDB Atlas on GCP, you get the benefit of Google’s constant innovation alongside the best database for building modern applications in the cloud. We are very excited to share how this partnership is beginning to take shape and to announce what you can expect in the upcoming months.
Using MongoDB Atlas's Sample Data Feature For Learning and Practice
Which came first, the database or the data? When you are starting with a new cluster on MongoDB Atlas, the database is just a couple of clicks to create, but unless you already have data you can upload, that database can sit empty until you learn how to import data or build an application to fill it. We know this happens often to people who create MongoDB Atlas M0 "free tier" clusters so we looked for a way to help people learn faster.
JSON Schema Validation - Checking Your Arrays
In a previous post, I discussed some of the methods that can be used to “lock down” the schema in your MongoDB documents. In this second part of this series, I’ll continue on with techniques beyond simple required field and value validation. We’ll explore how to further benefit from MongoDB’s document model and see how to apply another validation technique to arrays.
Building with Patterns: The Schema Versioning Pattern
It has been said that the only thing constant in life is change. This holds true to database schemas as well. Information we once thought wouldn’t be needed, we now want to capture. Or new services become available and need to be included in a database record. Regardless of the reason behind the change, after a while, we inevitably need to make changes to the underlying schema design in our application. While this often poses challenges, and perhaps at least a few headaches in a legacy tabular database system, in MongoDB we can use the Schema Versioning pattern to make the changes easier.
Building with Patterns: The Document Versioning Pattern
Databases, such as MongoDB, are very good at querying lots of data and updating that data frequently. In most cases, however, we are only performing queries on the latest state of the data. What about situations in which we need to query previous states of the data? What if we need to have some functionality of version control of our documents? This is where we can use the Document Versioning Pattern.
Building with Patterns: The Preallocation Pattern
One of the great things about MongoDB is the document data model. It provides for a lot of flexibility not only in schema design but in the development cycle as well. Not knowing what fields will be required down the road is easily handled with MongoDB documents. However, there are times when the structure is known and being able to fill or grow the structure makes the design much simpler. This is where we can use the Preallocation Pattern.
JSON Schema Validation - Locking down your model the smart way
If you've read through the Building with Patterns series, you've likely seen the flexibility of MongoDB's document data model. This provides many advantages when it comes to building applications quickly as we aren't locked into a rigid data structure like we are in a legacy, tabular database. Once your schema design is determined and settled upon, it is often useful to "lock" it into place. In MongoDB, we can use JSON Schema validation to accomplish this task. Since MongoDB 3.6, we have supported schema validation based on the JSON Schemas Draft Specification.
Building with Patterns: The Tree Pattern
Many of the schema design patterns we've covered so far have stressed that saving time on JOIN operations is a benefit. Data that's accessed together should be stored together and some data duplication is okay. A schema design pattern like Extended Reference is a good example. However, what if the data to be joined is hierarchical? For example, you would like to identify the reporting chain from an employee to the CEO? MongoDB provides the $graphLookup operator to navigate the data as graphs, and that could be one solution. However, if you need to do a lot of queries of this hierarchical data structure, you may want to apply the same rule of storing together data that is accessed together. This is where we can use the Tree Pattern.
MongoDB Go Driver Tutorial Part 1: Connecting, Using BSON, and CRUD Operations
The official MongoDB Go Driver recently moved to GA with the release of version 1.0.0. It's now regarded as feature complete and ready for production use. This tutorial will help you get started with the MongoDB Go Driver. You will create a simple program and learn how to:
Building with Patterns: The Approximation Pattern
Imagine a fairly decent sized city of approximately 39,000 people. The exact number is pretty fluid as people move in and out of the city, babies are born, and people die. We could spend our days trying to get an exact number of residents each day. But most of the time that 39,000 number is "good enough." Similarly, in many applications we develop, knowing a "good enough" number is sufficient. If a "good enough" number is good enough then this is a great opportunity to put the Approximation Pattern to work in your schema design.
Building with Patterns: The Extended Reference Pattern
Throughout this Building With Patterns series, I hope you've discovered that a driving force in what your schema should look like, is what the data access patterns for that data are. If we have a number of similar fields, the Attribute Pattern may be a great choice. Does accommodating access to a small portion of our data vastly alter our application? Perhaps the Outlier Pattern is something to consider. Some patterns, such as the Subset Pattern, reference additional collections and rely on JOIN operations to bring every piece of data back together. What about instances when there are lots of JOIN operations needed to bring together frequently accessed data? This is where we can use the Extended Reference pattern.
Building with Patterns: The Subset Pattern
Some years ago, the first PCs had a whopping 256KB of RAM and dual 5.25" floppy drives. No hard drives as they were incredibly expensive at the time. These limitations resulted in having to physically swap floppy disks due to a lack of memory when working with large (for the time) amounts of data. If only there was a way back then to only bring into memory the data I frequently used, as in a subset of the overall data.
Building With Patterns: The Computed Pattern
We've looked at various ways of optimally storing data in the Building with Patterns series. Now, we're going to look at a different aspect of schema design. Just storing data and having it available isn't, typically, all that useful. The usefulness of data becomes much more apparent when we can compute values from it. What's the total sales revenue of the latest Amazon Alexa? How many viewers watched the latest blockbuster movie? These types of questions can be answered from data stored in a database but must be computed.
Building With Patterns: The Outlier Pattern
So far in this Building with Patterns series, we've looked at the Polymorphic, Attribute, and Bucket patterns. While the document schema in these patterns has slight variations, from an application and query standpoint, the document structures are fairly consistent. What happens, however, when this isn't the case? What happens when there is data that falls outside the "normal" pattern? What if there's an outlier?
Building with Patterns: The Attribute Pattern
Welcome back to the Building with Patterns series. Last time we looked at the Polymorphic Pattern which covers situations when all documents in a collection are of similar, but not identical, structure. In this post, we’ll take a look at the Attribute Pattern. The Attribute Pattern is particularly well suited when:
How to Integrate Azure Functions with MongoDB
MongoDB Atlas, the database as a service provided by the creators of MongoDB, is available on all the major cloud providers, including Microsoft Azure. In this tutorial, I’ll cover the integration of Microsoft Azure Functions with MongoDB Atlas from a developer standpoint.
Building Intelligent Apps with MongoDB and Google Cloud - Part 1
Data analytics is a perpetual underachiever. Every generation of tools promises us better insight and never quite delivers. So we get stuck re-platforming and re-designing, hoping the next iteration will finally get us to the intelligence utopia. Yet modern applications must provide rich experiences, offer decision support, and continuously learn and adapt to win their users. Analytics and AI are at the heart of these Intelligent Apps.
Just Released: MongoDB ODBC Driver
Earlier this month, we released the new ODBC driver for the MongoDB Connector for Business Intelligence (BI Connector). This driver makes it incredibly simple to connect to MongoDB data using analytics tools such as Microsoft Excel, Qlik, Microstrategy Desktop, Tableau Desktop, and PowerBI. But before diving into specifics of the driver, it will be helpful to review some information about the BI Connector, how it functions, and what use cases it is intended to serve.
2018 MongoDB Innovation Award Winners
We received an overwhelming number of nominations for the fifth annual MongoDB Innovation Awards, recognizing companies who are using MongoDB to dream big and deliver incredibly bold, innovative solutions that are moving forward industries and changing lives for the better.
SEGA HARDlight Migrates to MongoDB Atlas to Simplify Ops and Improve Experience for Millions of Mobile Gamers
It was way back in the summer of 1991 that Sonic the Hedgehog first chased rings across our 2D screens. Gaming has come a long way since then. From a static TV and console setup to online PC gaming in the noughties and now to mobile and virtual reality. Surprisingly, for most of those 25 years, the underlying infrastructure that powered these games hasn’t really changed much at all. It was all relational databases. But with ever increasing need for scale, flexibility, and creativity in games, that’s changing fast. SEGA HARDlight is leading this shift by adopting a DevOps culture and using MongoDB Atlas, the cloud-hosted MongoDB modern database, to deliver the best possible gaming experience.
Stack Overflow Research of 100,000 Developers Finds MongoDB is the Most Wanted Database
It’s well established that developers want to work with a database that offers flexibility, versatility, and ease of use. Scalability and reliability certainly don’t hurt either. For an increasing number of developers, MongoDB is the desired solution to meet all these requirements. And for the second year in a row, this has been validated by the opinions of those who matter most — developers themselves.
An Introduction to Change Streams
There is tremendous pressure for applications to immediately react to changes as they occur. As a new feature in MongoDB 3.6, change streams enable applications to stream real-time data changes by leveraging MongoDB’s underlying replication capabilities. Think powering trading applications that need to be updated in real-time as stock prices change. Or creating an IoT data pipeline that generates alarms whenever a connected vehicle moves outside of a geo-fenced area. Or updating dashboards, analytics systems, and search engines as operational data changes. The list, and the possibilities, go on, as change streams give MongoDB users easy access to real-time data changes without the complexity or risk of tailing the oplog (operation log). Any application can readily subscribe to changes and immediately react by making decisions that help the business to respond to events in real-time.
The Best Solutions Architects Work At MongoDB
Despite the bravado in the title, the purpose of this article is not to say that MongoDB Solutions Architects (SAs) are better than those working at other organizations. Rather, this article argues that the unique challenges encountered by SAs at MongoDB imply that successful MongoDB SAs are some of the best in the business. This assertion is derived from the unique challenges encountered by both supporting MongoDB customers and the MongoDB sales organization and breadth and depth of skills and knowledge required to be successful.
Migrating your data from DynamoDB to MongoDB Atlas
There may be a number of reasons you are looking to migrate from DynamoDB to MongoDB Atlas. While DynamoDB may be a good choice for a set of specific use cases, many developers prefer solutions that reduce the need for client-side code or additional technologies as requirements become more sophisticated. They may also want to work with open source technologies or require some degree of deployment flexibility. In this post, we are going to explore a few reasons why you might consider using MongoDB Atlas over DynamoDB, and then look at how you would go about migrating a pre-existing workload.
eBay: Building Mission-Critical Multi-Data Center Applications with MongoDB
As a top 10 global retail brand with 170+ million active buyers and 1 billion live listings across 190 markets around the world, eBay cannot afford systems downtime. This is why the company relies on MongoDB as one of its core enterprise data platform standards, powering multiple, customer-facing applications that run ebay.com.
Azure Tutorial: How to Integrate Azure Functions with MongoDB
As announced at MongoDB World ‘17, MongoDB Atlas, the database-as-a-service provided by the creators of MongoDB, is now available on the three major public cloud providers: Amazon Web Services, Google Cloud Platform and Microsoft Azure. In this blog post, I’ll cover the integration of Microsoft Azure Functions with MongoDB Atlas from a developer standpoint.
How to Configure LDAP Authentication for MongoDB
This is a guest post from Tom Spitzer, Vice President, Engineering of EC Wise, Inc. To expand on the MongoDB LDAP documentation, the objective of this post is to elaborate on configuring LDAP authentication for MongoDB. We will use the Mini-Clinic application presented at MongoDB World ‘17 as the illustrative example.
Generating Globally Unique Identifiers for Use with MongoDB
By default, MongoDB generates a unique ObjectID identifier that is assigned to the _id field in a new document before writing that document to the database. In many cases the default unique identifiers assigned by MongoDB will meet application requirements. However, in some cases an application may need to create custom unique identifiers, such as:
MongoDB Ops Manager 3.4 User Interface Changes
Ops Manager 3.4, released at the beginning of December, contains both new features and changes from the previous major release, 2.0. This blog post will focus on the new Ops Manager 3.4 UI. It will cover new features and highlight changes from the previous UI.
New Compression Options in MongoDB 3.0
MongoDB 3.0 introduces compression with the WiredTiger storage engine. In this post we will take a look at the different options, and show some examples of how the feature works. As always, YMMV, so we encourage you to test your own data and your own application.
Password Authentication with Mongoose (Part 2): Account Locking
This post is Part 2 (of 2) on implementing secure username/password authentication for your Mongoose User models. In Part 1 we implemented one-way password encryption and verification using bcrypt. Here in Part 2 we’ll discuss how to prevent brute-force attacks by enforcing a maximum number of failed login attempts. This was originally posted on the DevSmash Blog
Password Authentication with Mongoose Part 1
This post is Part 1 (of 2) on implementing secure username/password authentication for your Mongoose User models, originally posted on Jeremy Martin’s DevSmash Blog. In this first installment, we will discuss how to implement one-way encryption of user passwords with bcrypt, and how to subsequently use the encrypted password for login verification.