We’re excited to announce the integration of MongoDB Atlas with the MCP Toolbox for Databases! This new integration enables you to: • Connect AI agents to enterprise data. • Query across multiple data sources at once. • Build more powerful and efficient AI-driven applications. MongoDB Atlas + Google Cloud's MCP Toolbox give developers the speed, flexibility, and scalability to build the next wave of AI-powered applications. 👉 Learn how to get started: https://lnkd.in/gQDsA6xz
MongoDB
Software Development
New York, NY 868,026 followers
Think outside rows and columns.
About us
Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our modern database platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.
- Website
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http://www.mongodb.com
External link for MongoDB
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- New York, NY
- Type
- Public Company
- Founded
- 2007
- Specialties
- open source, databases, mongodb, and software developer
Products
MongoDB
NoSQL Database Software
MongoDB’s modern database platform integrates all of the data services you need to build modern applications in a unified developer experience. It handles transactional workloads, app-driven analytics, full-text search, AI-enhanced experiences, stream data processing, and more, all while reducing data infrastructure sprawl and complexity.
Locations
Employees at MongoDB
Updates
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"Schema-less?" Not quite. MongoDB has had schema validation since 2017, giving you the power to enforce rules and avoid messy data chaos. Stop breaking apps with migration scripts and start shipping features. Use schema versioning to evolve your database gradually with zero downtime. Flexibility with control, structure with enforcement—not "schema-free." Learn more: https://lnkd.in/euVAVNJM
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✅ Try MongoDB 8.0 → https://lnkd.in/gE2_MPA6 ✅ Sign-up for a free cluster → https://lnkd.in/gNvvHNg7 ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - In this episode, learn how MongoDB and Accenture are helping major financial institutions transform decades-old legacy systems into AI-powered, cloud-native applications. We'll explore real-world challenges, such as data migration complexity and regulatory compliance, and demonstrate proven modernization methodologies. We'll also demo what a GenAI-augmented modernization stack looks like.
Modernizing Legacy Apps using GenAI
www.linkedin.com
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ICYMI: Last week at #MongoDBlocal New York, we announced a new integration with CrewAI! 🚀 CrewAI, the open-source framework for building and orchestrating AI agents, now integrates with MongoDB Atlas Vector Search. This new integration makes it simpler for you to design agents that collaborate, delegate, and scale complex workflows like research, analysis, and report writing. Learn how to implement agentic RAG at scale with MongoDB Atlas and CrewAI: https://lnkd.in/g7yvtdCj
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Spotted this week in The Wall Street Journal 👀
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MongoDB reposted this
This is a fantastic tutorial showing you how to build a real-time, production-grade document processing pipeline over massive volumes of data for AI agents. The key insights here are to use streaming infrastructure to combine document processing, embedding, and indexing into a downstream system. ✅ LlamaParse for document parsing ✅ Apache Kafka for message broker, Flink for stream processing on Kafka ✅ MongoDB for storage Check it out: https://lnkd.in/gm-2Asgq LlamaCloud: https://lnkd.in/g9Wpqn7w
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🚀 “To embrace AI, you have to move fast. You have to modernize.” We recently caught up with Shilpa Kolhar, SVP of Product & Engineering, after her #MongoDBLocal NYC keynote. She chatted with us about the launch of the MongoDB Application Modernization Platform (AMP), the surprising industry that is moving fast to modernize, and her advice for women leaders in tech. Betsy Button
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The MongoDB Global Partner Awards celebrate partners who empower customers to modernize, innovate, & build the future with MongoDB. From advancing AI to driving public sector innovation to bold go-to-market collaborations, these partners are raising the bar. Meet the MongoDB 2025 Partners of the year: https://lnkd.in/gz9ki27r
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MongoDB reposted this
What an incredible day at MongoDB.local NYC! Agentic AI won’t just improve productivity — it will transform how companies and even entire industries operate. And leveraging the right database — MongoDB — for context, memory, and data will be key for driving true transformation. We also launched the MongoDB Application Modernization Platform (AMP) to help customers break free from legacy systems that can’t support the future. AMP combines our flexible document model, AI-powered tooling, and expert talent to accelerate modernization 2–3x and speed up tasks like code transformation by 10x. A big thank you to the MongoDB team for making NYC .local — and all the other .locals around the world — a powerful showcase of what our amazing team and customers can achieve together.
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Yesterday at #MongoDBlocal New York, we announced a new integration with n8n! 🚀 We’ve made agent building with n8n and MongoDB even easier. Now you can power agent memory and agentic RAG with MongoDB Atlas Vector Search directly in the n8n visual builder. Start creating agentic workflows and agents – no code required! 👇 https://lnkd.in/gXtYMQtt
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