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Cayley

25
72
+ 1
7
Dgraph

125
219
+ 1
9
Titan

38
56
+ 1
0
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Pros of Cayley
Pros of Dgraph
Pros of Titan
  • 7
    Full open source
  • 3
    Graphql as a query language is nice if you like apollo
  • 2
    Easy set up
  • 2
    Low learning curve
  • 1
    Open Source
  • 1
    High Performance
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    - No public GitHub repository available -
    - 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 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.

    What is 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.

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    What companies use Cayley?
    What companies use Dgraph?
    What companies use Titan?
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      What tools integrate with Cayley?
      What tools integrate with Dgraph?
      What tools integrate with Titan?
        No integrations found
          No integrations found
          What are some alternatives to Cayley, Dgraph, and Titan?
          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.
          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.
          MongoDB
          MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
          OrientDB
          It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
          See all alternatives