lakeFS

lakeFS is a data version control platform ("Git for data lakes") from Treeverse that brings zero-copy branching, provenance, and unified access to enterprise data. Its June 2026 lakeFS for Agentic AI offering gives every AI agent an isolated, reproducible data sandbox with policy-gated merges and a unified audit trail, aimed at data and platform teams running autonomous and headless agents at scale.

Category

Data & Analytics

Pricing

Freemium, Subscription, Contact for pricing

Target Market

Data Engineers, Platform Engineers, CIOs, AI/ML Engineers

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  Zero-copy branching

  Creates isolated, fully consistent snapshots of production data for agents or experiments without duplicating the underlying objects.

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  Agent-native data sandboxes

  Each agent works through standard file operations with branch-scoped credentials confining it to its own workspace—no custom MCP server or SDK needed.

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  Policy-gated atomic merges

  Changes reach production only after pre-merge validations (schema checks, data-quality tests, row counts, custom rules) pass, applied atomically.

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  Unified audit trail

  Every change carries agent identity, run ID, and execution context for a single governed record of what each agent did.

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  Governed autonomous agents

  Let headless agents read and write enterprise data safely, gating any production change behind automated validation.

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  Reproducible data experiments

  Branch production data to test pipelines or models in isolation and roll back cleanly if results are wrong.

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  Data lineage and compliance

  Track provenance and produce audit evidence for AI-driven data changes across the lake.

Open-source edition is free and self-managed; Cloud and Enterprise editions add managed hosting and advanced governance—pricing on request.