Raphtory vs TuringDB
Both are property graph databases. Raphtory (2020-12, GPL-3.0, Rust) ranks #24 this month; TuringDB (2025, BUSL-1.1, C++) ranks #39.
| Attribute | Raphtory | TuringDB |
|---|---|---|
| At a glance | ||
| Rank | #24 | #39 |
| Score | 55.6 | 49.6 |
| GitHub stars | 650 | 188 |
| Popularity | 53.3 | 41.5 |
| Activity | 71.3 | 76.1 |
| Community | 30.3 | 50.5 |
| Research | 70.7 | 50.0 |
| Fundamentals | ||
| Description | An in-memory temporal graph database written in Rust with Python and Rust APIs. Tracks graph changes over time with time-traveling queries across historical states. Supports multilayer graph modeling, built-in graph algorithms, and full-text search. Includes a GraphQL server with a bundled exploration UI. | An in-memory, column-oriented property graph database engine focused on analytical and read-intensive workloads over large graphs. |
| Vendor | Pometry | Turing Biosystems |
| Model | Property Graph | Property Graph |
| Kind | database | database |
| Category | Emerging | Emerging |
| First released | 2020-12 | 2025 |
| Status | active | active |
| License | GPL-3.0 | BUSL-1.1 |
| Written in | Rust | C++ |
| Query languages | GraphQL | openCypher |
| gdotv support | no | no |
Feature scores — not surveyed for Raphtory
| Feature | Raphtory | TuringDB |
|---|---|---|
| Community & Business | ||
| Active development | — | ✓ |
| Commercial support | — | ✓ |
| Live community | — | ✓ |
| Open Source | — | · |
| Pricing | — | 0.5 |
| Trendiness | — | 0.25 |
| Deployment | ||
| Containerization | — | ✓ |
| Work as dedicated instance | — | ✓ |
| Work as embedded | — | ✓ |
| Testing in-memory version | — | ✓ |
| Platform | ||
| Operating on Linux | — | ✓ |
| Operating on Windows | — | · |
| SaaS offering | — | ✓ |
| Operations | ||
| Automatic updates | — | · |
| Client side caching | — | · |
| Data versioning support | — | ✓ |
| Live backups | — | · |
| Distribution | ||
| Cluster Re-balancing | — | · |
| Data Distribution | — | ✓ |
| High-Availability | — | ✓ |
| Query Distribution | — | · |
| Replication support | — | · |
| Developer Experience | ||
| Data types defined | — | ✓ |
| Logging/Auditing | — | ✓ |
| Object-Graph Mapper | — | · |
| Reactive programming | — | · |
| Documentation up-to-date | — | ✓ |
| Binary protocol | — | ✓ |
| CLI | — | ✓ |
| GUI | — | ✓ |
| Data Model | ||
| Multi-database | — | ✓ |
| Graph-native data | — | ✓ |
| REST API | — | ✓ |
| Query Language | — | ✓ |
| Transactions | ||
| Granular locking | — | ✓ |
| Multiple isolation levels | — | · |
| Read committed transaction | — | ✓ |
| Transaction support | — | ✓ |
| Schema & Security | ||
| Constraints | — | · |
| Schema support | — | · |
| Secondary indexes | — | ✓ |
| Server side procedures | — | ✓ |
| Triggers | — | · |
| Authentication | — | ✓ |
| Authorization | — | ✓ |
| Data encryption | — | · |
Links
- Raphtory · website · github · full profile
- TuringDB · website · github · full profile