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 13K GitHub stars and 1.2K GitHub forks. Here’s a link to Cayley's open source repository on GitHub
Who uses Cayley?
9 developers on StackShare have stated that they use Cayley.
Why developers like Cayley?
Here’s a list of reasons why companies and developers use Cayley
- 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
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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.