documentdb/documentdb
MongoDB-compatible database engine for cloud-native and open-source workloads. Built for scalability, performance, and developer productivity. observed · 2026-08-28
Health v2 · maintenance only
83/100
- Activity 98
- Release rhythm 87
- Longevity 42
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 37
- age_days: 588
- days_rel: 9
- days_push: 12
- n_releases_24m: 16
Adoption not part of the score
3431 stars · 253 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
DocumentDB is an open-source, MongoDB-compatible document database engine built as PostgreSQL extensions, providing native BSON support, CRUD APIs, and a wire-protocol gateway. It supports advanced indexing, full-text and geospatial queries, and vector search via pgvector, deployable via Docker, Linux packages, or a Kubernetes operator.
Use cases
- run a MongoDB-compatible database on PostgreSQL
- self-host an open-source alternative to MongoDB Atlas
- store and query BSON documents with SQL available when needed
- add vector search and embeddings to a document database
- migrate MongoDB workloads off proprietary licensing
- deploy a document database cluster on Kubernetes
- use MongoDB drivers and mongosh with a Postgres-backed backend
When to choose
- you want MongoDB API compatibility with an MIT license and full source access
- you already operate PostgreSQL and want document workloads on the same infrastructure
- you need on-premise or self-hosted control for compliance or cost reasons
- you want to combine document CRUD with SQL, geospatial, and vector search in one engine
When to avoid
- you need 100% parity with the latest MongoDB features and version-specific behaviors
- you want a fully managed hosted service without operating your own database
- your stack depends on MongoDB-specific ecosystem tooling like Atlas features, Atlas Search, or Change Streams guarantees
- you need non-Linux server deployments, as production packages target Linux
Facets
service · maturity active
database vector-database search-engine self-hosted databases backend self-hosted cloud-computing self-hosted cloud mongodb-compatible postgresql-extension bson document-database pgvector wire-protocol nosql linux docker kubernetes
6 sources
- readme: https://github.com/documentdb/documentdb · fetched 2026-08-28 · e53bd8923626
- homepage: https://documentdb.io/ · fetched 2026-08-29 · 84454c2bdcd5
- site_page: https://documentdb.io/docs · fetched 2026-08-29 · 84c803c8f65f
- site_page: https://documentdb.io/docs/getting-started · fetched 2026-08-29 · b92c3d759ba8
- site_page: https://documentdb.io/docs/getting-started/docker · fetched 2026-08-29 · c6bb4343b338
- site_page: https://documentdb.io/documentdb-kubernetes-operator/latest/preview/getting-started/quickstart-kind · fetched 2026-08-29 · 375534daae2a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| documentdb/documentdb | main | 83 |
For agents
markdown · JSON · MCP: product_card(name="documentdb/documentdb")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem