MongoDB, Inc. - SaaS Valuation Profile MDB

MongoDB makes a modern database platform built around flexible, document-oriented storage. Dwight Merriman, Eliot Horowitz, and Kevin Ryan founded it in 2007 in New York City. MongoDB pioneered the document model as an alternative to rigid relational databases, and it's become one of the most widely adopted databases for modern application development.

The core product is the MongoDB database. You can use it as a fully managed cloud service called MongoDB Atlas, or run it yourself with Enterprise Advanced and the free Community Edition. Instead of storing data in traditional rows and columns, MongoDB uses flexible JSON-like documents. For developers, this means working with objects in application code feels natural. No complex object-relational mapping needed. The database supports rich queries, indexing, aggregation, transactions, and horizontal scaling through automatic sharding.

Atlas is the flagship cloud service, available on AWS, Azure, and Google Cloud across over 100 regions. It handles provisioning, scaling, patching, backup, and disaster recovery automatically. The platform has expanded into a full developer data platform with Atlas Search for full-text search, Atlas Vector Search for AI and semantic search, Atlas Stream Processing for real-time events, Atlas Data Federation for querying across sources, and Atlas Device Sync for mobile and edge synchronization.

The go-to-market combines product-led growth with enterprise sales. Developers start with the free Community Edition or Atlas free tier, build a project, and usage spreads across the organization as more applications get built on the platform. It's a classic land-and-expand pattern.

Atlas revenue, now over 68% of total revenue, is consumption-based. Enterprise Advanced sells as annual subscriptions. Total revenue is roughly $2 billion annually with gross margins around 74%. Net revenue retention has historically exceeded 120%.

The AI play centers on Atlas Vector Search. It lets developers build AI applications using retrieval-augmented generation by storing and querying vector embeddings alongside regular operational data. This positions MongoDB as a unified database for both traditional apps and AI-powered features.

With about 5,400 employees and over 51,000 customers, MongoDB has become a go-to database for modern development. People use it for everything from mobile apps to enterprise systems to AI applications.