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Ontotext Graph DB VS GrapheneDB

Compare Ontotext Graph DB VS GrapheneDB and see what are their differences

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Ontotext Graph DB logo Ontotext Graph DB

Graph DB is a semantic graph database that serves organizations to store, organize and manage content.

GrapheneDB logo GrapheneDB

Graph databases as-a-service
  • Ontotext Graph DB Landing page
    Landing page //
    2023-10-01
  • GrapheneDB Landing page
    Landing page //
    2023-07-23

Category Popularity

0-100% (relative to Ontotext Graph DB and GrapheneDB)

Ontotext Graph DB

GrapheneDB

Graph Databases
42 42%
Graph Databases
58% 58
Databases
42 42%
Databases
58% 58
NoSQL Databases
43 43%
NoSQL Databases
57% 57
Big Data
55 55%
Big Data
45% 45

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What are some alternatives?

When comparing Ontotext Graph DB 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.

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

Amazon Neptune - Amazon Neptune is a fully managed graph database service that works with highly connected datasets. Learn about the benefits and popular use cases.

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

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

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

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