mongodb/mongo

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

28650 stars · 5824 forks observed · 2026-10-19

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.99

MongoDB is a high‑performance, document‑oriented NoSQL database that stores JSON‑like documents. It provides a flexible schema, built‑in replication, sharding, and advanced features such as vector search and streaming processing.

Use cases

• store and query JSON documents for web and mobile applications
• scale out write‑heavy workloads with automatic sharding
• run semantic search and recommendation engines using vector search
• process real‑time event streams with Atlas Stream Processing
• build multi‑region, fault‑tolerant data stores for global applications
• enable ACID transactions across multiple documents in a NoSQL store

When to choose

• you need a flexible schema that can evolve without migrations
• your application requires horizontal scaling and high availability out of the box
• you want built‑in support for modern features like vector search and time‑series collections
• you prefer a single platform that can serve both operational and analytical workloads

When to avoid

• your workload demands strict relational constraints and complex joins
• you need a lightweight embedded database with minimal resource usage
• licensing under SSPL is a concern for your organization
• you require a pure key‑value store with sub‑microsecond latency

Facets

application · maturity active

database vector-database search-engine databases artificial-intelligence windows cloud document-store nosql sharding replication sspl acidity-transactions atlas-integration data-engineering linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mongodb/mongo")