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Cayley

25
72
+ 1
7
Graph Engine

4
29
+ 1
1
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Cayley vs Graph Engine: What are the differences?

Cayley: 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; Graph Engine: RAM Store + Computation Engine + Graph Model (by Microsoft). The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.

Cayley and Graph Engine can be categorized as "Graph Databases" tools.

Cayley and Graph Engine are both open source tools. It seems that Cayley with 12.6K GitHub stars and 1.13K forks on GitHub has more adoption than Graph Engine with 1.75K GitHub stars and 249 GitHub forks.

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Pros of Cayley
Pros of Graph Engine
  • 7
    Full open source
  • 1
    Flexiable, very expressive, native C# works

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- No public GitHub repository available -

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.

What is Graph Engine?

The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.

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What companies use Cayley?
What companies use Graph Engine?
    No companies found
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    What are some alternatives to Cayley and Graph Engine?
    Neo4j
    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
    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
    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.
    JanusGraph
    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.
    ArangoDB
    A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
    See all alternatives