Moderne coordinates AI coding agents across repositories with deterministic workflows and code-change controls.
lakeFS
lakeFS provides data version control for data lakes using Git-style workflows.
About lakeFS
lakeFS is a source-available tool that turns object storage into a Git-like repository, applying version control concepts such as branches and commits to data lakes. It is aimed at repeatable, atomic and versioned data lake operations, from ETL jobs to data science and analytics. Supported underlying storage services are AWS S3, Azure Blob Storage and Google Cloud Storage. It is API compatible with S3 and stated to work with frameworks such as Spark, Hive, AWS Athena, DuckDB and Presto. A standalone sandbox instance can be started with pip or Docker for evaluation. The source material does not state pricing, scale limits, or deployment sizing, and notes that the project is source-available rather than open source.
Key features
- Git-style branching and commits over data lake object storage
- Atomic, versioned data lake operations for ETL and analytics
- Supports AWS S3, Azure Blob Storage and Google Cloud Storage backends
- S3 API compatible; works with Spark, Hive, Athena, DuckDB, Presto
- Branches provide a copy of production data without copying it
- Standalone sandbox via pip install or Docker quickstart command
Best for: Data engineering and MLOps teams running data lakes on object storage who want Git-like versioning and isolated dev/test environments without duplicating data.
Good for
- Turns existing object storage into a versioned repository instead of requiring a separate data store
- Branch-based isolation lets teams test ETL and transformation changes against production data without copying it
- Version history supports reproducing data state for debugging, ML training validation and audits
Watch out for
- Source-available rather than open source, and no pricing information is provided in the source
- Source excerpt gives no detail on scale limits, deployment sizing, or governance and compliance guarantees
lakeFS at a glance
- Website
- github.com/treeverse/lakeFS
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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lakeFS FAQ
Which storage services can lakeFS use?
AWS S3, Azure Blob Storage and Google Cloud Storage are listed as the supported underlying storage services.
How can I try lakeFS?
A standalone sandbox instance can be started with pip install lakefs followed by python -m lakefs.quickstart, or with a Docker command using the treeverse/lakefs:latest image and run --quickstart.
What is a typical use case?
Creating branches that give a copy of full production data without copying anything, so ETL pipelines can be developed and tested in isolated environments before changes reach production.
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