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GrapheneDB VS Graph Engine

Compare GrapheneDB VS Graph Engine and see what are their differences

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GrapheneDB logo GrapheneDB

Graph databases as-a-service

Graph Engine logo Graph Engine

Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed com
  • GrapheneDB Landing page
    Landing page //
    2023-07-23
  • Graph Engine Landing page
    Landing page //
    2023-07-31

Category Popularity

0-100% (relative to GrapheneDB and Graph Engine)

GrapheneDB

Graph Engine

Graph Databases
47 47%
Graph Databases
53% 53
Databases
50 50%
Databases
50% 50
NoSQL Databases
48 48%
NoSQL Databases
52% 52
Big Data
50 50%
Big Data
50% 50

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare GrapheneDB and Graph Engine

GrapheneDB Reviews

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Graph Engine Reviews

Top 15 Free Graph Databases
Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation 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....
Source: www.predictiveanalyticstoday.com
Open source Microsoft Graph Engine takes on Neo4j
Microsoft's been exploring this area since at least 2013, when it published a paper describing the Trinity project, a cloud-based, in-memory graph engine. The fruits of the effort, known as the Microsoft Graph Engine, are now available as an MIT-licensed open source project as an alternative to the likes of Neo4j or the Linux Foundation's recently announced JanusGraph.
Source: www.infoworld.com

What are some alternatives?

When comparing GrapheneDB and Graph Engine, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

Apache TinkerPop - Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.

Cayley - Open-source graph database.

Grapholytic - grapholytic by MIOsoft produces results from the combination of a Graph DB and a scalable object database architecture.

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