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Most databases treat data as a snapshot. TerminusDB treats data like a Git repository–every change is versioned, every update is tracked, and you can branch, merge, diff, and roll back any change. This makes it uniquely suited for knowledge graph applications where data provenance and collaboration are critical.
Developed by TerminusDB, this open-source knowledge graph database combines graph data modeling with document-oriented storage. Its WOQL (Web Ontology Query Language) query language enables expressive graph traversal, schema validation, and data transformation. The built-in version control makes it ideal for collaborative data projects, data pipeline management, and any application where data history matters.
Core Features
| Feature | Description | Benefit |
|---|---|---|
| Version control | Git-like branching and merging | Collaboration without conflicts |
| WOQL query language | Declarative graph queries with JSON syntax | Expressive and composable |
| Schema management | Define and enforce data models | Data quality assurance |
| Graph visualization | Built-in visual exploration | Intuitive data understanding |
| REST API | HTTP-based access | Easy integration |
Data Architecture
flowchart LR
A[TerminusDB] --> B[Version Control Layer]
B --> C[Branch: main]
B --> D[Branch: feature]
B --> E[Branch: staging]
C --> F[Commit History]
D --> G[Commit History]
E --> H[Commit History]
F --> I[Graph Storage]
G --> I
H --> I
I --> J[Schema Store]
I --> K[Object Store]
I --> L[Triple Store]The version control layer sits on top of a three-part storage system: a schema store for data models, an object store for JSON documents, and a triple store for RDF graph data. Every operation creates a new commit, enabling full version history.
Database Comparison
| Feature | TerminusDB | Neo4j | ArangoDB | PostgreSQL + extensions |
|---|---|---|---|---|
| Version control | Built-in | None | None | Via extensions |
| Graph + documents | Yes | Graph only | Yes | Via extensions |
| WOQL query | Native | Cypher | AQL | SQL/SPARQL |
| Collaboration | Native | Limited | Limited | Basic |
| Data integrity | Schema enforcement | Optional | Optional | Strong |
For more information, visit the TerminusDB GitHub repository and the TerminusDB documentation.
Frequently Asked Questions
Q: Is TerminusDB fully open source? A: Yes, TerminusDB is released under the Apache 2.0 license with some components under GPL.
Q: How does branch merging work with data conflicts? A: TerminusDB uses a sophisticated merge algorithm that handles data conflicts at the triple level.
Q: What use cases are best suited for TerminusDB? A: Collaborative data projects, knowledge graphs, data catalogs, and applications requiring full data provenance.
Q: Can TerminusDB handle large-scale graphs? A: Yes, it is designed for billion-triple scale graphs with horizontal scaling support.
Q: Does it support graph algorithms like PageRank? A: Through WOQL queries and integration with graph processing frameworks.
