github.com/cayleygraph/cayley@v0.7.7/README.md (about) 1 <div align="center"> 2 <a href="https://github.com/cayleygraph/cayley"> 3 <img width="200" src="static/branding/cayley_bottom.png?raw=true" alt="Cayley"> 4 </a> 5 </div> 6 7 [](https://travis-ci.com/cayleygraph/cayley) 8 [](https://hub.docker.com/r/cayleygraph/cayley) 9 10 Cayley is an open-source database for [Linked Data](https://www.w3.org/standards/semanticweb/data). It is inspired by the graph database behind Google's [Knowledge Graph](https://en.wikipedia.org/wiki/Knowledge_Graph) (formerly [Freebase](http://freebase.com)). 11 12 [](https://snapcraft.io/cayley) 13 14 ## [Documentation](https://cayley.gitbook.io/cayley/) 15 16 ## Features 17 18 - Built-in query editor, visualizer and REPL 19 - Multiple query languages: 20 - [Gizmo](./docs/GizmoAPI.md): query language inspired by [Gremlin](http://gremlindocs.com/) 21 - [GraphQL](./docs/GraphQL.md)-inspired query language 22 - [MQL](./docs/MQL.md): simplified version for [Freebase](https://en.wikipedia.org/wiki/Freebase) fans 23 - Modular: easy to connect to your favorite programming languages and back-end stores 24 - Production ready: well tested and used by various companies for their production workloads 25 - Fast: optimized specifically for usage in applications 26 27 ### Performance 28 29 Rough performance testing shows that, on 2014 consumer hardware and an average disk, 134m quads in LevelDB is no problem and a multi-hop intersection query -- films starring X and Y -- takes ~150ms. 30 31 ## Community 32 33 - Website: [cayley.io](https://cayley.io) 34 - Slack: [cayleygraph.slack.com](https://cayleygraph.slack.com) -- Invite [here](https://cayley-slackin.herokuapp.com/) 35 - Discourse list: [discourse.cayley.io](https://discourse.cayley.io) (Also acts as mailing list, enable mailing list mode) 36 - Twitter: [@cayleygraph](https://twitter.com/cayleygraph) 37 - Involvement: [Contribute](./docs/Contributing.md)