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Omnigraph

by Community

Lakehouse native graph engine with git-style workflows

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OSS

Omnigraph

Added 1 June 2026

Overview

Omnigraph is a lakehouse native graph engine that uses git-style workflows for version control. It is written in Rust and designed for observability use cases, enabling users to query and manage graph data directly on data lakes.

Best for

Best for
Developers building observability pipelines on lakehouse infrastructure who need version-controlled graph analytics.

Use cases

  • Version-controlled graph analytics on lakehouse data
  • Observability tracing and dependency mapping
  • Collaborative graph data management with branching and merging

Notes

Omnigraph is a lakehouse native graph engine that uses git-style workflows for version control. It is written in Rust and designed for observability use cases, enabling users to query and manage graph data directly on data lakes.

278 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Version-controlled graph analytics on lakehouse data
  • Observability tracing and dependency mapping
  • Collaborative graph data management with branching and merging

Pros

  • Native integration with lakehouse architectures reduces data movement
  • Git-like workflows simplify collaboration and versioning
  • Rust implementation offers high performance and memory safety

Cons

  • Small community with only 278 GitHub stars limits support and ecosystem
  • Early-stage project may lack production maturity and documentation
  • Requires familiarity with both graph databases and lakehouse concepts

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Native integration with lakehouse architectures reduces data movement
  • Git-like workflows simplify collaboration and versioning
  • Rust implementation offers high performance and memory safety

Cons

  • Small community with only 278 GitHub stars limits support and ecosystem
  • Early-stage project may lack production maturity and documentation
  • Requires familiarity with both graph databases and lakehouse concepts