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Graph Engine

4
25
+ 1
1
TerminusDB

5
13
+ 1
0
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Graph Engine vs TerminusDB: What are the differences?

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; TerminusDB: *An open source in-memory graph database *. It is a database built for data people. Terminus is a model driven graph database designed specifically for the web-age The result is unified, well-structured & refined data - the jet fuel of future business. It greatly reduces the time and effort required to build any application that shares, manipulates or edits data..

Graph Engine and TerminusDB can be primarily classified as "Graph Databases" tools.

Graph Engine and TerminusDB are both open source tools. Graph Engine with 1.85K GitHub stars and 271 forks on GitHub appears to be more popular than TerminusDB with 463 GitHub stars and 21 GitHub forks.

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Pros of Graph Engine
Pros of TerminusDB
  • 1
    Flexiable, very expressive, native C# works
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    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 TerminusDB?

    It is a database built for data people. Terminus is a model driven graph database designed specifically for the web-age. The result is unified, well-structured & refined data - the jet fuel of future business. It greatly reduces the time and effort required to build any application that shares, manipulates or edits data.

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    What companies use Graph Engine?
    What companies use TerminusDB?
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      What are some alternatives to Graph Engine and TerminusDB?
      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.
      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.
      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
      See all alternatives