Cayley vs Neo4j: 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, Neo4j is detailed as "The world’s leading Graph Database". 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.
Cayley and Neo4j belong to "Graph Databases" category of the tech stack.
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, Neo4j provides the following key features:
- intuitive, using a graph model for data representation
- reliable, with full ACID transactions
- durable and fast, using a custom disk-based, native storage engine
"Full open source" is the primary reason why developers consider Cayley over the competitors, whereas "Cypher – graph query language" was stated as the key factor in picking Neo4j.
Cayley and Neo4j are both open source tools. Cayley with 12.6K GitHub stars and 1.13K forks on GitHub appears to be more popular than Neo4j with 6.6K GitHub stars and 1.63K GitHub forks.
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