MongoDB
Modern AI applications need flexible operational databases for product data and app state.
Metric timing
This page mixes live market data, trailing fundamentals, and latest reported statement data.
Price, 1D change, market cap, and enterprise value are current market-based figures.
Most valuation and margin cards are trailing twelve months, while forward P/E uses forward consensus.
Balance-sheet ratios use the latest reported quarter. Dividend cadence is inferred from recent payout history.
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Why it could benefit going forward
- Modern AI applications need flexible operational databases for product data and app state.
- Atlas can participate as developers build AI-native apps in the cloud.
- Vector-search and data services make MongoDB more relevant to AI application stacks.
Moat / edge
- Large developer ecosystem.
- Managed Atlas cloud platform with recurring usage.
- Flexible document model suited to modern applications.
What to watch
- Atlas growth and workload expansion.
- AI application use cases and vector-search adoption.
- Competitive pressure from cloud-native databases.
Key risks
- Usage growth can slow with cloud cost optimization.
- Database competition is intense and price-sensitive.
Business snapshot
MongoDB, Inc., together with its subsidiaries, provides general purpose database platform worldwide. The company offers MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB. It offers professional services comprising consulting and training. The company was formerly known as 10gen, Inc. and changed its name to MongoDB, Inc. in August 2013. MongoDB, Inc. was incorporated in 2007 and is headquartered in New York, New York.