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TuringDB

Get Started

  • Introduction
  • Get Started
  • Claude Code Skill
  • Commands

Concepts

  • Overview
  • A Columnar Graph Database
  • Versioning System
  • The DataPart System
  • Zero-Locking Architecture
  • Snapshots Isolation

Benchmarks

  • Results Summary
  • Technical Report

Query Language

  • Query Language
  • CheatSheet

Importing data

  • JSONL
  • CSV
  • Neo4j
  • GML
  • Parquet

Graph Development

  • Create Graph
  • Load Graph
  • Load External data
  • Create a Change
  • List Changes
  • Create Nodes and Edges
  • Update Properties
  • Submit a Change
  • Time Travel
  • Graph Examples

Vector Search

  • Vector Search

Graph Algorithms

  • Shortest Path

Tutorials

  • Example Notebooks

Python SDK

  • Get Started
  • Reference

Troubleshooting

  • Troubleshooting

  • The Problem with Traditional Databases
  • TuringDB’s Zero-Lock Architecture
  • How It Works
  • Architecture Comparison
  • Summary
Concepts

Zero Locking Architecture

Zero-lock concurrency

TuringDB has eliminated the plague of read locks.
Our architecture is designed from the ground up to deliver true snapshot isolation—without sacrificing performance or scalability.

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The Problem with Traditional Databases

In most RDBMS systems, read queries are blocked by write operations. This means:

  • Analytics pipelines stall during ingestion
  • Dashboards freeze under concurrent load
  • AI workloads suffer from stale or delayed data access

This is a dealbreaker for real-time systems.

​
TuringDB’s Zero-Lock Architecture

TuringDB rewrites the rules.

  • Every read transaction executes on its own immutable snapshot of the graph.
  • Writes never block reads, and reads never interfere with writes.
  • Snapshot Isolation is enabled by default, with no coordination cost.
  • Built-in support for massive parallelism, powering:
    • Real-time dashboards
    • AI pipelines
    • Batch analytics

Analytics stay fast, live, and responsive—always.

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How It Works

When a write query modifies the database, it creates a new snapshot behind the scenes. Read queries simply operate on whichever snapshot they start from—no locks, no contention.

This ensures:

  • Consistent reads at a fixed point in time
  • Concurrent write throughput without coordination bottlenecks
  • Scalable multi-user workloads

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Architecture Comparison

Zero Locking Comparison

In TuringDB, analytics never wait. Read and write paths are completely decoupled.

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Summary

FeatureTraditional RDBMSTuringDB
Read blocks on writeYesNever
Snapshot isolationManual or expensiveDefault & efficient
Concurrency under loadBottleneckedMassively parallel
Built for real-time graphsNoYes

TuringDB gives you instant analytics with zero locking, enabling a new class of real-time, high-frequency applications at scale.

The DataPart SystemSnapshots Isolation
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