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Pros of Dgraph
Pros of Neptune
  • 3
    Graphql as a query language is nice if you like apollo
  • 2
    Low learning curve
  • 1
    High Performance
  • 1
    Open Source
  • 1
    Easy set up
  • 1
    Aws managed services
  • 1
    Supports both gremlin and openCypher query languages

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Cons of Dgraph
Cons of Neptune
    Be the first to leave a con
    • 1
      Doesn't have much support for openCypher clients
    • 1
      Doesn't have proper clients for different lanuages
    • 1
      Doesn't have much community support

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    - No public GitHub repository available -

    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 Neptune?

    It brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed, reproduced and shared with others. Works with all common technologies and integrates with other tools.

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    What companies use Dgraph?
    What companies use Neptune?
      No companies found
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      What tools integrate with Dgraph?
      What tools integrate with Neptune?
        No integrations found

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        What are some alternatives to Dgraph and Neptune?
        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 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.
        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.
        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.
        GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
        See all alternatives