The graph database built for
the complexity of the real world

Millisecond queries, full version history, minimal footprint.
For the data critical industries depend on.

Trusted & supported by world-leading research labs & teams

University of Oxford Roche Sanofi NHS World Health Organization Fujitsu Centre Léon Bérard

Model the world in full complexity, from molecules to markets.

TuringDB is an in-memory, columnar graph database, and the first with Git-style versioning built into the engine. Deep traversals return in milliseconds on hardware you already own.

Built out of chip design and computational biology research, for industries that cannot trade speed for provenance. The fast, compact, and auditable infrastructure layer for connected data.

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Biopharma and life sciences
Financial services

Built for the hardest graph workloads.

Latency, versioning, and scale, engineered together, not bolted on.

Latency

Multi-hop Cypher traversals over hundreds of millions of nodes, finished before a traditional database has even started planning.

Versioning

Every change is a commit. Branch, merge, and time-travel through your data with the workflow you already use for code.

Scale

A native columnar architecture that stores billions of nodes and edges compactly in memory, keeping your infra light.

turingdb · shell
$ turingdb query plant-07
graph size · 47,120,721 nodes · 129,310,412 edges
MATCH (a)-->(b)-->(c)-->(d)-->(e) RETURN a, e
→ 46,197 rows returned
✓ completed in 7.28 ms
minimal memory footprint · runs on simple hardware

Adopted by pharma, healthcare, and national research.

From population-scale health systems to sovereign on-prem deployments, TuringDB runs inside the trust boundary, fully auditable and versioned.

Fujitsu WHO Sanofi + many more