MongoDB

MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data

Updates

MongoDB

4 days ago

MongoDB's Technical Services Tools 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. Learn more.

Technical Services Tools: Embracing Modern Frameworks and Influencing Efficiency

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MongoDB

3 weeks ago

For the second year in a row, MongoDB Atlas Vector Search was named the most loved vector database in Retool's State of AI report.

Atlas Vector Search Once Again Voted Most Loved Vector Database

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MongoDB

4 weeks ago

How do MongoDB industry experts influence customers and our go-to-market strategy? Learn more about how our Industry Solutions team is working with AI and helping customers build next-generation MongoDB-powered applications.

Helping Customers Unlock Potential with Industry Solutions

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MongoDB

9 weeks ago

The MongoDB Atlas API Experience team is committed to offering a seamless developer experience to customers who build and automate against the MongoDB Atlas developer data platform. Learn more about what goes on behind the scenes at MongoDB!

Enhancing the MongoDB Atlas Go SDK with Automated Code Generation

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MongoDB

33 weeks ago

India is a developer powerhouse. Learn more about how MongoDB is approaching the market from Area Vice President Sachin Chawla.

Navigating the Indian Tech Landscape: MongoDB's Path to Success

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About MongoDB

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, MongoDB's 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 is making it easier to securely manage application and AI-related data across a unified developer data platform so that it’s easier to securely build consistent, correct, and differentiated AI applications and experiences. What's more, our open architecture and deep partnerships with the major cloud providers and best-in-breed AI tech companies give customers the flexibility they need to securely build and deploy truly innovative AI-powered applications, at any scale.

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.

Find out more about our Engineering efforts, achievements, and culture by visiting our Engineering Blog.

Resources

Do you want to learn to build better, faster applications for free? Visit the MongoDB University to build your MongoDB skills and advance your career with free courses and certification.

Check out our Developer Centre for the latest MongoDB tutorials, videos and code examples with your languages and tools.

Join the MongoDB Developer Community and User Groups to start learning immediately.

Tech Stack

We have an extraordinary group of engineers that is building MongoDB and utilizing a varied tech stack.

Our Server team that is building our database down to the kernel layer including but not limited to storage, sharding, replication and query who are predominantly working with C++. In addition to our database, this team is building out a number of tools such as database drivers and connectors and other products such as our Atlas Data Lake and Compass products. These products are built with Go, Python, Typescript and Rust amongst many others.

Then there is the Atlas Cloud team that is building a platform that is truly multi-cloud. The team creates advanced ways to auto-heal and auto-scale, connect more securely, and build cross cloud clusters. Additionally, there are teams building tools focused on search, telemetry and observability, alerts, IAM, and billing/payments. They primarily use Java, Typescript, and React with an emphasis on backend.

Last but not least, Realm is our fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. Realm core is built using C++ whereas SDKs are built in Swift, Java, Javascript, Dart, Kotlin and .NET.