Software Alternatives & Reviews

HyperGraphDB VS Cayley

Compare HyperGraphDB VS Cayley and see what are their differences

HyperGraphDB logo HyperGraphDB

HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs.

Cayley logo Cayley

Open-source graph database.
  • HyperGraphDB Landing page
    Landing page //
    2023-08-01
  • Cayley Landing page
    Landing page //
    2022-02-03

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Cayley videos

Foundry Cigar- Cayley Review

Category Popularity

0-100% (relative to HyperGraphDB and Cayley)
NoSQL Databases
37 37%
63% 63
Graph Databases
29 29%
71% 71
Databases
37 37%
63% 63
Big Data
50 50%
50% 50

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Reviews

These are some of the external sources and on-site user reviews we've used to compare HyperGraphDB and Cayley

HyperGraphDB Reviews

Top 15 Free Graph Databases
HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs designed mostly for knowledge management, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. HyperGraphDB

Cayley Reviews

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What are some alternatives?

When comparing HyperGraphDB and Cayley, 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.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.

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.