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Graph Engine

4
29
+ 1
1
JanusGraph

41
95
+ 1
0
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Graph Engine vs JanusGraph: What are the differences?

Developers describe Graph Engine as "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. On the other hand, JanusGraph is detailed as "Open-source, distributed graph database". 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.

Graph Engine and JanusGraph belong to "Graph Databases" category of the tech stack.

Graph Engine is an open source tool with 1.78K GitHub stars and 252 GitHub forks. Here's a link to Graph Engine's open source repository on GitHub.

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Pros of Graph Engine
Pros of JanusGraph
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    Flexiable, very expressive, native C# works
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    - No public GitHub repository available -

    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 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.

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    What companies use Graph Engine?
    What companies use JanusGraph?
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    What tools integrate with Graph Engine?
    What tools integrate with JanusGraph?
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      What are some alternatives to Graph Engine and JanusGraph?
      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.
      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.
      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.
      RedisGraph
      RedisGraph is a graph database developed from scratch on top of Redis, using the new Redis Modules API to extend Redis with new commands and capabilities. Its main features include: - Simple, fast indexing and querying - Data stored in RAM, using memory-efficient custom data structures - On disk persistence - Tabular result sets - Simple and popular graph query language (Cypher) - Data Filtering, Aggregation and ordering
      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.
      See all alternatives