Reactive maintenance and manual inventory planning can’t keep up with the complexity of modern automotive manufacturing. So what does the next generation of operations look like? Let's break it down: • Predictive maintenance powered by multi-agent systems for failure prediction, repair planning, and real-time guidance • Smart fleet management that adapts in real time with agentic AI • Personalized in-cabin experiences built on hybrid cloud-edge architectures All powered by MongoDB Atlas. Read the white paper 👇 https://lnkd.in/e893xZWe
MongoDB
Software Development
New York, NY 907,402 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
![Click here to view MongoDB]()
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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Last week, MongoDB Sales Kickoff took place in Las Vegas. Team members from around the globe gathered to connect and get inspired by not just our speakers, but one another. The energy in the room was tangible, and it wasn't just because we unveiled a killer roadmap for the year ahead!! When our teams are engaged and equipped to do their best work, that's when MongoDB thrives. 💚 Join our growing go-to-market organization and be at the forefront of customer obsession, unlocking how organizations will build and scale the AI applications of the future 🔗 https://lnkd.in/gFP_h95X #LifeAtMongoDB
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Earlier this month, our APAC Technical Services team gathered in Sydney to align on our customer-first mindset, deepen technical expertise, and strengthen collaboration across regions and functions. 🇦🇺 What did attendees have to say? 💚 "It was an energising week of connection, learning, and teamwork." (John Yu) 💚 "It was a massive networking opportunity and a rare chance to step away from the day-to-day to discuss the things that matter on a greater scale. Plus, some pretty great team-building activities to top it off." (Seemi Hasan) 💚 "My key take away was that AI is rapidly becoming part of every aspect of how we work — from problem solving to customer support. The real transformation lies in how quickly we adapt and integrate AI as a daily co-pilot in our work." (Reghu Jeganathan) Join us in APAC to help shape the way AI applications will be built -- with MongoDB as the data platform of choice 👉 https://lnkd.in/embntbB8 #LifeAtMongoDB
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Going from prototype to production with AI agents means managing retrieval, memory, and operational data as separate problems. Now, native integrations across LangChain, LangGraph, and LangSmith combine operational data, vector search, and persistent state all in one place, without standing up parallel infrastructure. Read the full announcement 👇
📣 Announcing our partnership with MongoDB: The AI Stack that runs on the database you already trust We've partnered with MongoDB so teams can go from prototype to production leveraging existing Atlas deployment, without standing up parallel infrastructure. Atlas Vector Search plugs directly into langchain as a drop-in retriever for semantic, hybrid, and GraphRAG queries. The MongoDB Checkpointer for LangSmith Deployment persists agent state (multi-turn memory, human-in-the-loop workflows, audit trails) directly in Atlas. Text-to-MQL lets agents query operational data in plain English. And LangSmith traces everything end to end, from retrieval calls to routing decisions to state transitions. ➡️ Read the announcement: https://lnkd.in/euhrUfN6 ➡️ Check out the MongoDB docs: https://lnkd.in/efnMyncJ ➡️ Check out our docs: https://lnkd.in/eewuc9Ww
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Today, we're introducing MongoDB Agent Skills. Official, curated skills that give your coding agents the MongoDB expertise it needs to produce reliable schemas, queries, and code that follow proven best practices. Install in seconds: npx skills add mongodb/agent-skills Or grab the plugin for Claude Code, Cursor, Gemini CLI, and VS Code ➡️ https://lnkd.in/eepKGaXi
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Wrapping up March by celebrating our community members who made it extraordinary.💚 🏆 Champion of the Month - Mateus Leonardi 🌍 MUG Leaders of the Month - Loveleen Kaur & Pranav Kumar 🎨 Creator of the Month - Amanda Ruzza 💻 Startup of the Month - Modelence Get the full scoop on this month's winners! 👉 https://lnkd.in/ejJmSQtP
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Search that breaks on a typo is not it. Learn how fuzzy matching helps you find what you mean (even if you misspell it!) and how to wire it up fast with Spring Data MongoDB. Watch the video and start learning: https://lnkd.in/e4G_pDwX
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When you're securing sensitive data for the world's largest enterprises, slow queries aren't just a technical problem, they're a business one. Sentra moved from Postgres to MongoDB Atlas, and saw transformative results: 180x faster queries, 70% smaller search indexes, and a leap from 20 million to over 1 billion assets managed. The secret? A flexible document model built for scale, paired with Atlas Search powering every filter, aggregation, and classification their customers depend on. Read how they did it → https://lnkd.in/gd8tEeNd
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Think your MongoDB Vector Search knowledge is solid? Let's put it to the test. The Vector Search skill badge covers the essentials: from how embeddings work to why model consistency matters for relevance. Start earning now: https://lnkd.in/gsr-eqce Samadnya Kalaskar
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"My favorite part of working at MongoDB is the flexibility of working and the people. As someone who recently eased back into work after one year of maternity leave, the flexibility that MongoDB provided me when it came to balancing work from home and the office allowed me to proiritise family time and continue my breastfeeding journey. Coming back to work after a long leave is no easy job, but thanks to the flexibility here I can choose when to visit the office and ensure I also provide support to my child when he is sick from crèche or has a checkup. For example, my son's crèche recently held a mother's day breakfast, and I was able to drop him off at 7:30, stay a little longer and speak with other parents, and then drive to work. This hybrid balance ensures I never miss these types of opportunities in my private life." ✨ Marta Marcheselli, Customer Success Manager Learn more about #LifeAtMongoDB and find opportunities on our careers site 🔗 https://lnkd.in/gUQvWGGC
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