TuringDB
TuringDB: A focused graph engine for versioned, analytical workloads with a free self-hosted edition. Ranked #21 of 39 in Graph Databases by our editors (6.8/10); pricing: Free plan; best for versioned in-memory graph experiments.
At a glance
- Editor score6.8 / 10
- PricingFree plan
- Best forVersioned in-memory graph experiments
- Free planYes
- DeploymentHybrid
- Facts checked22 Sep 2026

Where it wins
- Git-style graph versioning with time travel
- Cypher-compatible queries and ACID transactions
- Built-in vector search, shortest paths, and visualization
Where it doesn't
- Community deployment is self-hosted
- Enterprise starts at $5,000
- Named integrations center on APIs, SDKs, and data formats
Our verdict on TuringDB
TuringDB is an in-memory, column-oriented graph database for analytical, AI-driven, and read-intensive workloads. It suits teams exploring versioned graph data, multi-hop traversal, vector search, and graph algorithms. The Community plan provides self-hosted deployment, full source access, memory-efficient columnar storage, millisecond multi-hop traversal, and Git-style versioned graphs. It runs across web, Windows, macOS, Linux, API, and self-hosted environments.
Pricing is structured around Community, Enterprise, and Custom options. Community is free and open-source, with the published plan focused on self-hosted use. Enterprise starts at $5,000 and adds cloud, on-premises, or hybrid deployment, advanced security and permissions, data access and change logging, horizontal scale, high availability, dedicated support, and integrations. Custom is aimed at co-developed graph applications, bespoke visualization and modeling, digital twins, expert data integration, and dedicated engineering and application support. This makes Community a practical entry point for experimentation, while Enterprise targets organizations that need managed deployment controls and operational support.
Its technical scope is broader than a basic graph store: TuringDB combines Cypher-compatible queries, snapshot isolation, ACID transactions, zero-lock concurrent reads and writes, vector indexes, k-nearest-neighbor search, Dijkstra shortest paths, and a browser-based WebGL visualizer. Data can be imported from JSONL, CSV, GML, Neo4j, and Parquet, with Python, JavaScript, REST, and Docker support. Choose TuringDB for versioned in-memory graph work and analytical or AI-oriented workloads. Consider an alternative if a self-hosted Community deployment or a $5,000 Enterprise starting point does not fit your operating model.
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TuringDB pricing
All 4 TuringDB plans and prices →
TuringDB fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Deployment | Hybrid |
| Query languages | OpenCypher |
| ACID transactions | Yes |
| Graph algorithms | Yes |
| Vector search | Yes |
| Included storage | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | Community, Docs · 24/7 |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan (source) |
| Website | turingdb.ai |
| Facts checked | 22 Sep 2026 |
Alternatives to TuringDB
- Neo4jA broad graph platform spanning managed cloud, self-managed deployments, analytics, and AI.9.4
- Amazon NeptuneA managed AWS graph service with broad query, resilience, analytics, and AI connectivity.9.2
- Apache HugeGraphA self-hosted graph platform combining transactional storage, analytics, and graph-AI tooling.9.0
See all TuringDB alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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