Engine Comparison¶
Detailed information about each benchmarked graph database engine.
Overview¶
| Engine | Type | Language | License | Architecture |
|---|---|---|---|---|
| CongraphDB | Embedded | Rust | MIT | Native addon |
| Neo4j | Client-Server | Java | AGPL v3 / Commercial | Network service |
| Kuzu | Embedded | C++ | MIT | Native bindings |
| SQLite | Embedded (SQL) | C | Public Domain | Native library |
| Graphology | Library | JavaScript | MIT | Pure JS |
Quick Comparison¶
Choose Your Engine¶
CongraphDB¶
- Best for: Embedded Node.js apps requiring high performance
- Use when: You need the fastest embedded graph database
- Avoid when: You need Neo4j-specific features
Neo4j¶
- Best for: Enterprise applications with complex analytics
- Use when: You need GDS library or visual query tools
- Avoid when: Memory or startup time is constrained
Kuzu¶
- Best for: Python/C++ environments needing graph databases
- Use when: Working outside Node.js ecosystem
- Avoid when: You need pure JavaScript solution
SQLite¶
- Best for: Applications needing SQL + some graph queries
- Use when: You already use SQLite and need basic graph features
- Avoid when: Graph queries are your primary workload
Graphology¶
- Best for: Browser-based graph applications
- Use when: You need to run in browser or want pure JS
- Avoid when: Performance is critical
Detailed Pages¶
Select an engine for detailed performance analysis and implementation notes:
- CongraphDB - The benchmark leader
- Neo4j - Industry standard
- Kuzu - C++ embedded option
- SQLite - Relational with graph features
- Graphology - Pure JavaScript