MongoDB

About MongoDB

MongoDB is a document-oriented database platform available both as a self-managed product (Community Edition and Enterprise Advanced) and as a managed cloud service called Atlas. It stores data using a document data model rather than relational tables, and supports operational, transactional, analytical, search, vector, graph, and geospatial workloads alongside stream processing integrated with Apache Kafka.

The platform includes tools for search (full-text and vector search for semantic search, recommendation engines, and retrieval-augmented generation applications), a GUI client called Compass for working with MongoDB data, a Relational Migrator for moving from relational databases to MongoDB, and a set of integrations with third-party services. It also offers embedding and reranking models through Voyage AI.

MongoDB is aimed at developers and enterprises building applications that need flexible schema design, multi-document ACID transactions, secondary indexing, and query capabilities spanning simple lookups to complex aggregation pipelines. Documentation, a learning hub, community forums, and certification programs are provided to support developers building on the platform.

Key features

• Document-oriented database with a flexible schema and single query API for lookups, aggregations, and analytics
• Vector Search for semantic search, recommendation engines, and generative AI applications
• Atlas Stream Processing for event-driven apps using Kafka-compatible aggregation pipeline stages
• Multi-document ACID transactions with secondary indexing and joins for millisecond response times
• Native support for geospatial data (GeoJSON, coordinate pairs) with specialized indexes
• Native graph data support for analyzing relationships across collections

Frequently asked questions