Engineered for
real-time graph performance
The fastest graph database engine, built from years of database research with principles from chip design and computational biology.
Trusted & supported by world-leading research labs & teams
Model the world in full complexity, from molecules to markets.
TuringDB is an in-memory, columnar graph database engine built in C++, and the world's first with native Git-style versioning. It delivers real-time multi-hop traversal on a minimal memory footprint, with full control over the evolving data.
Named after Alan Turing, the father of modern computer science, to make the world computable in real time.
It's built as an infrastructure layer for use cases where relationships, provenance, and speed all matter at once, the foundation for real-time data science and AI on connected data.
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.
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.
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Docs, benchmarks, and runnable demos to get you querying in minutes.