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HyperGraphDB vs TerminusDB

Both stand on graph databases. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

HyperGraphDB

Free plan LinuxSelf-hostedWindows

HyperGraphDB is aimed at developers who want an embedded hypergraph model rather than a client/server database. Its Java API, Berkeley DB storage and optional peer-to-peer features define the deployment approach.

Visit HyperGraphDB

TerminusDB

Free plan APILinuxSelf-hosted+1

Choose TerminusDB if your work needs a schema-enforced document graph with Git-like version control, transactional commits, and multiple query interfaces. Look elsewhere if RDF/SPARQL support is required or if your priority is relational analytics, mature ORMs, or a very large extensions ecosystem.

Visit TerminusDB

The facts

HyperGraphDBTerminusDB
Free planYesYes
Open sourceNot publishedNot published
Runs onLinux, Self-hosted, WindowsAPI, Linux, Self-hosted, Web
Lowest paid planNot publishedFree or on request
Plans publishedNone1
MakerNot publishedNot published
Websitehypergraphdb.orgterminusdb.org
On graph databases#22 of 39#18 of 39

HyperGraphDB: what it does well

  • Free and open source under Apache-2.0
  • Represents n-ary and higher-order relationships
  • Supports ACID transactions and graph algorithms
  • Maven integration is documented
  • Optional peer-to-peer functionality

What to know first

  • No client/server communication layer
  • Structural-pattern query language remains work in progress
  • Self-hosted deployment required

TerminusDB: what it does well

  • Tracks data changes with branching, diffing, merging, cloning, and time travel.
  • Enforces schema validation on every write and uses ACID commits.
  • Offers HTTP document API, GraphQL, and WOQL query access.
  • Provides role-based access control with users, roles, capabilities, and resource scopes.
  • Imports CSV, JSON, JSON-LD, RDF/XML, and Turtle.

What to know first

  • Does not support RDF/SPARQL.
  • PostgreSQL is better suited to relational analytics, mature ORMs, and a very large extensions ecosystem.

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