Headquarters
New York, NYFounded
2007CEO / Founder
Dev IttycheriaEmployees
5001-10000Funding
Public — $311MStock
MDBProducts
1 product listedAvg. AI Score
8.4/10Website
mongodb.com/Profile updated
MongoDB, Inc. develops a document-oriented database platform designed as an alternative to traditional relational databases. The company was founded in 2007 by Dwight Merriman, Eliot Horowitz, and Kevin Ryan, originally under the name 10gen, and is headquartered in New York City.
The core product, MongoDB, stores data in flexible, JSON-like documents rather than rigid rows and tables, and is available as self-managed software or through MongoDB Atlas, a fully managed cloud database service running on AWS, Google Cloud, and Microsoft Azure. The company also offers MongoDB Enterprise Advanced and developer tools such as Compass and Realm. Customers span industries including financial services, retail, telecommunications, and technology, with the database widely used for application development, content management, and real-time analytics.
MongoDB raised approximately $311 million in venture funding from investors including Sequoia Capital, Intel Capital, and NEA before going public on the Nasdaq in October 2017 under the ticker MDB. The company has made acquisitions including Compose (2016), mLab (2018), Realm (2019), and search-startup technology to expand Atlas capabilities. It reports revenue primarily driven by Atlas subscription growth and employs several thousand people globally.
All products by MongoDB reviewed by our AI panel of experts.
Multi-cloud document database platform for AI-ready applications
Who MongoDB competes with, and how they differ.
Direct document-database competitor offering a distributed NoSQL platform with SQL++ query support and stronger emphasis on mobile/edge sync, targeting similar enterprise workloads as MongoDB.
AWS-native key-value/document database competing for cloud-native application workloads, priced on-demand or provisioned capacity rather than MongoDB's Atlas cluster-based pricing, and tightly locked into the AWS ecosystem.
Cloud data warehouse focused on structured analytics and large-scale SQL querying rather than operational document storage, targeting BI and data warehousing teams instead of application developers.
1 product reviewed on TopReviewedEnterprise data management and integration platform rather than an operational database, serving data governance and ETL use cases that sit above databases like MongoDB in the data stack.
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