cozodb/cozo

Health v2 · maintenance only

Adoption not part of the score

4097 stars · 164 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

CozoDB is a transactional, relational-graph-vector database written in Rust that uses Datalog as its query language. It runs embedded or as a client-server service, supports HNSW vector search, full-text search, and graph algorithms, with bindings for many languages.

Use cases

• store and query graph data with Datalog
• run vector similarity search alongside relational joins
• embed a lightweight database in an app with a single executable
• run graph algorithms like PageRank on stored relations
• build RAG applications needing vector search plus graph traversal
• find near-duplicate documents with MinHash-LSH
• query recursive relationships in connected data

When to choose

• you want Datalog's declarative recursive queries over graph data
• you need vector search integrated with relational and graph queries in one engine
• you want an embeddable, cross-platform database with bindings for many languages

When to avoid

• you need a mature, widely-supported SQL database with a large ecosystem
• you require heavy multi-node horizontal scaling or enterprise-grade replication
• your workload is simple key-value storage without graph or vector needs

Facets

library · maturity active

database vector-database search-engine databases graph-processing artificial-intelligence cross-platform rust python wasm jvm go embedded datalog graph-database embedded-database hnsw vector-search full-text-search minhash-lsh single-executable search nodejs swift

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