Dgraph vs Graph Engine vs Neo4j

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Dgraph

125
220
+ 1
9
Graph Engine

4
29
+ 1
1
Neo4j

1.2K
1.4K
+ 1
351
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Pros of Dgraph
Pros of Graph Engine
Pros of Neo4j
  • 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
  • 1
    Flexiable, very expressive, native C# works
  • 69
    Cypher – graph query language
  • 61
    Great graphdb
  • 33
    Open source
  • 31
    Rest api
  • 27
    High-Performance Native API
  • 23
    ACID
  • 21
    Easy setup
  • 17
    Great support
  • 11
    Clustering
  • 9
    Hot Backups
  • 8
    Great Web Admin UI
  • 7
    Powerful, flexible data model
  • 7
    Mature
  • 6
    Embeddable
  • 5
    Easy to Use and Model
  • 4
    Highly-available
  • 4
    Best Graphdb
  • 2
    It's awesome, I wanted to try it
  • 2
    Great onboarding process
  • 2
    Great query language and built in data browser
  • 2
    Used by Crunchbase

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Cons of Dgraph
Cons of Graph Engine
Cons of Neo4j
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      • 9
        Comparably slow
      • 4
        Can't store a vertex as JSON
      • 1
        Doesn't have a managed cloud service at low cost

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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 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.

      What is 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.

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      What companies use Dgraph?
      What companies use Graph Engine?
      What companies use Neo4j?

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      What tools integrate with Dgraph?
      What tools integrate with Graph Engine?
      What tools integrate with Neo4j?
        No integrations found
          No integrations found

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          What are some alternatives to Dgraph, Graph Engine, and Neo4j?
          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.
          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.
          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.
          GraphQL
          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.
          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.
          See all alternatives