What is Cayley?
Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
Cayley is a tool in the Graph Databases category of a tech stack.
Cayley is an open source tool with GitHub stars and GitHub forks. Here’s a link to Cayley's open source repository on GitHub
Who uses Cayley?
25 developers on StackShare have stated that they use Cayley.
Pros of Cayley
Full open source
- Written in Go
- Easy to get running (3 or 4 commands, below)
- RESTful API
- or a REPL if you prefer
- Built-in query editor and visualizer
- Multiple query languages:
- (simplified) MQL, for Freebase fans
- Plays well with multiple backend stores:
- MongoDB for distributed stores
- In-memory, ephemeral
- Modular design
- easy to extend with new languages and backends
- Good test coverage
- Speed, where possible.
Cayley Alternatives & Comparisons
What are some alternatives to Cayley?
See all alternatives
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.