TuringDB

What TuringDB is

TuringDB is an in-memory, columnar graph database with Git-style versioning built into its engine. It supports OpenCypher queries and multi-hop graph traversals, which its maker says return in milliseconds. Users can branch, merge, diff, roll back, and query earlier graph versions. Its FAQ says one machine can hold hundreds of millions of nodes and billions of edges. The immutable data architecture supports concurrent reads and writes with full snapshot isolation, according to the FAQ. Vector search, ACID transactions, and graph algorithms are also supported. Data imports include JSONL, CSV, Neo4j, GML, and Parquet, and the product includes a Python SDK. TuringDB can run as a self-hosted server, on-premise, or in an air-gapped environment; it can also be embedded and driven from Python. The free Community plan is self-hosted and provides full source access, with pip and Docker listed as run options. Enterprise starts at $5,000 per contact and adds advanced security and permissions, horizontal scale and high availability, dedicated support, and integrations. A Custom plan covers managed bespoke graph applications, visualization, modeling, data integration, and engineering. The maker, Turing Biosystems, says it developed the graph engine from work integrating multimodal data and building digital twins of biological systems.

Who it suits

TuringDB suits teams working with connected data that need graph queries, version history, or built-in vector search. The maker highlights biopharma and life sciences, financial services, healthcare, supply chains, defense, and infrastructure; deployment options include self-hosting, on-premise, air-gapped, and Python embedding.

Limits

The free Community plan is self-hosted. Enterprise is listed from $5,000 per contact; advanced security and permissions, horizontal scale and high availability, dedicated support, and integrations are included with that plan.

Getting started

1. Visit https://www.turingdb.ai/.
2. For the free Community plan, run it with pip or Docker in a self-hosted environment.
3. Import data using JSONL, CSV, Neo4j, GML, or Parquet formats.
4. Use the Python SDK or embed and drive TuringDB from Python.
5. Contact the maker about Enterprise or Custom options for additional services.

Verdict

Choose TuringDB if you want a graph database with version history and flexible deployment, including a free self-hosted Community option. Consider Enterprise if you need advanced security, horizontal scale, high availability, or dedicated support; its listed starting price is $5,000 per contact.