Join us as we dive into the world of document-based data modeling and explore how MongoDB Atlas transformed our software delivery at HeroSpark. Discover how we achieved faster deliveries, ensured technical excellence, and unlocked scalability—all while keeping our focus on innovation and quality. - ✅ Try MongoDB 8.0 → https://lnkd.in/dPnCY55F ✅ Sign-up for a free cluster → https://lnkd.in/d3BEXMJ7 ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe
MongoDB
Software Development
New York, NY 812,478 followers
A developer data platform for developers to do their best work. #LoveYourDevelopers
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 developer data 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
-
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
![Click here to view MongoDB]()
MongoDB
NoSQL Database Software
MongoDB’s developer data 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
-
"Perk of today: working from home and taking my coworker for a walk at lunch! Dilys the dog loved chasing the ball next to the local Zumba class. #LifeAtMongoDB" -Ellie Davies, Sr. Enterprise Account Executive in the UK We know how important flexibility and a healthy work-life balance are to supporting our employees throughout the holiday season and new year. But our approach to hybrid working isn't limited to certain weeks or months. It lasts all year long. Discover more about flexible working and culture at MongoDB by joining our talent community 👉 https://lnkd.in/gPK4zHe9
-
-
MongoDB for VS Code Extension surpasses 2 MILLION downloads! 💚🎉 A heartfelt thank you to our incredible developer community for being part of this journey. We’re committed to helping you build game-changing applications, and that means meeting you where you are. The MongoDB for VS Code Extension simplifies development by seamlessly integrating into your workflow. And now, with our Copilot integration, leveraging AI to unlock the full potential of your MongoDB data is easier than ever—all without leaving your IDE. #LoveYourDevelopers https://lnkd.in/gqdRP8R4
-
🚀 Exciting news: MongoDB Atlas Stream Processing now supports Microsoft Azure and Azure Private Link! This update unlocks new possibilities for developers leveraging Azure’s cloud ecosystem. With this integration, you can: ✅ Seamlessly integrate MongoDB Atlas and Apache Kafka ✅ Effortlessly manage complex, rapidly changing data structures ✅ Process streaming data using the familiar MongoDB Query API ✅ Enjoy a fully managed service, eliminating operational overhead Ready to simplify your data stream processing? Learn more about how this integration can supercharge your workflows! https://lnkd.in/gzneKER8
-
Turkey or tofu, this AI party planner has got you! 🦃 In this tutorial, MongoDB Developer Advocate, Anaiya R., walks you through how you can set up a RAG chatbot with MongoDB Atlas Vector Search, Playwright, and LlamaIndex to build the ultimate AI-powered party planner. Check out the full tutorial: https://lnkd.in/guuqKAJM
-
🔍 Internal Developer Platforms (IDPs) are transforming how engineering teams build and deploy applications - but selecting the right data infrastructure doesn't need to be complex. With MongoDB Atlas, engineering teams can create smoother, more intuitive development experiences with tools they love. This white paper reveals how → https://lnkd.in/d3Q_5R3k
-
🎉 Last month, we welcomed two AI partners offering product integrations with MongoDB: Braintrust: An end-to-end platform for building and evaluating world-class AI apps. Langtrace: An open-source observability tool that collects and analyzes traces to help improve your LLM applications. We also announced new additions to the MongoDB AI Application Program (MAAP) including Capgemini, Confluent, IBM, QuantumBlack, AI by McKinsey, and unstructured.io. And that’s not all—MongoDB is collaborating with Meta to support developers leveraging Meta models and the end-to-end MAAP technology stack. These milestones underscore our commitment to driving AI innovation and empowering developers to build the next generation of transformative applications. Learn more about how our ecosystem is shaping the future of AI: https://lnkd.in/gZtbZpi5
-
-
Introducing binary quantization and rescoring in Atlas Vector Search! By reducing memory up to 96% and making vectors faster to retrieve, developers can build a wide range of modern AI and semantic search applications at higher scale and lower costs. Check out the blog to learn more: https://lnkd.in/gGEcbqjG #VectorSearch
-
-
In this comprehensive tutorial, we'll compare two popular vector database solutions for AI applications: PostgreSQL with pgvector extension and MongoDB Atlas Vector Search. Using a real-world financial Q&A dataset, we'll explore which database might be better suited for your AI workloads. - ✅ Try MongoDB 8.0 → https://lnkd.in/dFHAagdp ✅ Sign-up for a free cluster → https://lnkd.in/dqk-N2t9 ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe - ⚡️ What You'll Learn: 📚 Implementation of RAG (Retrieval Augmented Generation) systems 📚 Vector similarity search in both PostgreSQL and MongoDB 📚 Performance benchmarking and analysis 📚 Practical deployment considerations
Deep Dive: PostgreSQL(pgvector)vs MongoDB Vector Search for AI Applications
www.linkedin.com
-
Following Q3 earnings, MongoDB CEO, Dev Ittycheria, appeared on CNBC’s Money Movers with Sara Eisen and Carl Quintanilla to discuss our results, how we're helping enterprise customers modernize their application infrastructure, and MongoDB's pivotal role in powering GenAI applications. View segment here: https://lnkd.in/gHpE-gwX
Similar pages
Browse jobs
Stock
MDB
NASDAQ
20 minutes delay
$265.10
-0.53 (-0.2%)
- Open
- 266.99
- Low
- 263.1
- High
- 269.49
Data from Refinitiv
See more info on