TuringDB

Spec sheet

Product

TuringDB is an in-memory, columnar graph database with Git-style versioning built into its engine.Read 5 Oct 2026 · turingdb.ai

Deployment

TuringDB can be self-hosted as a server, deployed on-premise or air-gapped, or embedded and driven from Python.Read 5 Oct 2026 · turingdb.ai

Integrations

The documentation lists JSONL, CSV, Neo4j, GML, and Parquet as data import formats, and the product includes a Python SDK.Read 5 Oct 2026 · docs.turingdb.ai

Support

The Enterprise plan includes dedicated support and integrations.Read 5 Oct 2026 · turingdb.ai

Headquarters

The maker lists Turing Biosystems Ltd. in London and Lyon.Read 5 Oct 2026 · turingdb.ai

Company

Turing Biosystems says it founded the company to integrate multimodal data and build digital twins of biological systems, and that its graph engine became TuringDB.Read 5 Oct 2026 · turingdb.ai

Concurrency

Its immutable data architecture supports concurrent reads and writes with full snapshot isolation, according to the FAQ.Read 5 Oct 2026 · turingdb.ai

Querying

It supports Cypher and offers multi-hop graph traversals that the maker says return in milliseconds.Read 5 Oct 2026 · turingdb.ai

Scale

The FAQ says TuringDB can hold hundreds of millions of nodes and billions of edges on a single machine.Read 5 Oct 2026 · turingdb.ai

Security and audit

The Enterprise plan includes advanced security and permissions plus data access and change logging.Read 5 Oct 2026 · turingdb.ai

Vector search

Vector search is built into the engine.Read 5 Oct 2026 · turingdb.ai

Version history

Users can branch, merge, diff, roll back, and query historical graph versions.Read 5 Oct 2026 · turingdb.ai

Who it serves

The maker highlights use in biopharma and life sciences, financial services, healthcare, supply chains, defense, and infrastructure.Read 5 Oct 2026 · turingdb.ai

Plans and prices

Every TuringDB plan and price →

Where Specifiction places it

• Graph Databases#28 of 397.4