GraphCanon updated 2w · GitHub synced 2w
Decision brief
lakeFS provides Git-like functionality for managing versions of data in a data lake, compatible with storage solutions like S3 and Azure.
Good fit when
- When you need version control for large-scale datasets stored in a data lake, similar to how codebases are managed with Git.
- For teams using AWS S3 or Azure Blob Storage as their primary data repository who require robust version management.
Avoid when
- If your use case involves managing small files or datasets that do not benefit from a Git-like history for data changes due to overhead.
- For situations where compliance requirements preclude open-source solutions or those under the Apache 2.0 license, as lakeFS may not meet these specific needs.
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (5,480) are secondary evidence.
- Docker Hub pulls (30d)
- 4,964,845·Docker Hub API·2w
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- 5 low (5 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/treeverse/lakeFSSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
lakeFS provides Git-like features for managing versions of data in a data lake supporting various storage options including S3 and Azure Blob Storage.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 3, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 3, 2026
- Languages
- go
Source: github.language · Aug 3, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 3, 2026)
python -m lakefs.quickstartSource link
Tags
README
Getting Started
You can spin up a standalone sandbox instance of lakeFS:
pip install lakefs
python -m lakefs.quickstart
Once you've got lakeFS running, open http://127.0.0.1:8000/ in your web browser.
Getting Started with Docker
Alternatively, you can run lakeFS a server using Docker:
docker run --pull always \
--name lakefs \
-p 8000:8000 \
treeverse/lakefs:latest \
run --quickstart
Licensing
lakeFS is completely free and open-source and licensed under the Apache 2.0 License.
Treeverse considers that any sharing of source code with an AI agent, and any output an AI agent generates based on our source code, without the appropriate notices or attribution requirements, violates the terms of the Apache 2.0 license to which this source code is subject. We also do not consider AI provider guardrails as sufficient to prevent copyright infringement. Treeverse reserves all of its rights to pursue legal action against any party that inputs LakeFS code into an AI agent.
For agents
This page has a .md twin and JSON over the API.