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Cayley vs JanusGraph: What are the differences?
Developers describe Cayley as "An open-source graph database". 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. On the other hand, JanusGraph is detailed as "Open-source, distributed graph database". 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.
Cayley and JanusGraph can be categorized as "Graph Databases" tools.
Some of the features offered by Cayley are:
- Written in Go
- Easy to get running (3 or 4 commands, below)
- RESTful API
On the other hand, JanusGraph provides the following key features:
- Elastic and linear scalability for a growing data and user base
- Data distribution and replication for performance and fault tolerance
- Multi-datacenter high availability and hot backups
Cayley is an open source tool with 12.7K GitHub stars and 1.14K GitHub forks. Here's a link to Cayley's open source repository on GitHub.
Pros of Cayley
- Full open source7