cayleygraph/cayley

Health v2 · maintenance only

Adoption not part of the score

15062 stars · 1236 forks observed · 2026-08-28

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

Cayley is an open-source graph database for Linked Data written in Go, inspired by the graph database behind Google's Knowledge Graph (Freebase). It supports RDF formats like NQuads and JSON-LD, multiple query languages (Gizmo/Gremlin, GraphQL-inspired, MQL), and pluggable backends such as SQL, NoSQL, and KV stores.

Use cases

• store and query linked data as RDF quads
• build a knowledge graph with graph queries
• run multi-hop graph traversal queries over millions of quads
• query a graph with a Gremlin-like language
• import NQuads or JSON-LD datasets and explore them visually
• use an existing SQL or KV store as a graph backend

When to choose

• you need a self-hosted graph database with RDF/linked-data support
• you want multiple query languages including a Gremlin dialect
• you want to layer graph queries on top of an existing database backend
• you need a built-in query editor and visualizer

When to avoid

• you need a general-purpose relational database with ACID transactions
• you require heavy ongoing development or frequent releases
• you need a distributed, horizontally scalable graph store at massive scale

Facets

application · maturity maintenance

database search-engine http-server cli databases developer-tools go windows cross-platform self-hosted graph-database linked-data rdf quads gremlin graphql mql knowledge-graph leveldb search linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="cayleygraph/cayley")