Software Alternatives & Reviews

Graph Engine VS GrapheneDB

Compare Graph Engine VS GrapheneDB and see what are their differences

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 logo GrapheneDB

Graph databases as-a-service
  • Graph Engine Landing page
    Landing page //
    2023-07-31
  • GrapheneDB Landing page
    Landing page //
    2023-07-23

Category Popularity

0-100% (relative to Graph Engine and GrapheneDB)
Graph Databases
53 53%
47% 47
NoSQL Databases
53 53%
47% 47
Databases
50 50%
50% 50
Big Data
50 50%
50% 50

User comments

Share your experience with using Graph Engine and GrapheneDB. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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....
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.

GrapheneDB Reviews

We have no reviews of GrapheneDB yet.
Be the first one to post

What are some alternatives?

When comparing Graph Engine and GrapheneDB, 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.

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

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

Cayley - Open-source graph database.

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

Titan - Built like a hedge fund.