What is MongoDB?
MongoDB's documentation organizes data into databases and collections of documents. Documents can contain nested fields and arrays, allowing a model to reflect an application's entities. Atlas adds a managed service and UI for creating or editing documents. Schema design, indexes, access controls, and operational choices still affect behavior.
Read the full overview
Sources checked 27 September 2026: databases and collections, Atlas documents.
Key capabilities
- Document model: nested records in collections
- Queries and indexes: application-specific access paths
- Atlas option: managed deployment and data tools
Prototype the actual queries and update patterns, define validation, and test backups and restores. An embedded document model can simplify some reads while complicating other relationships.
MongoDB fits applications where a document representation suits the data and query patterns. It should be evaluated against relationships, transaction requirements, indexing, backup, and deployment preferences rather than a blanket claim of flexibility.
The practical decision is whether document boundaries align with application behavior. The old customer count and 'most popular' ranking were omitted.
Technical details
- Access
- Self-hosted
- Source model
- Other license
- Founded
- 2007
- Headquarters
- New York, USA
- Pricing model
- Freemium
- Starting price
- 0 USD
- API
- Available
- Website
- www.mongodb.com ↗
Official resources
What to verify for your environment
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms with the publisher.
- Validate deployment, data location, access control, backup and recovery requirements.
- Test integrations, export paths and a representative operational workflow before committing.
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