About lakeFS
lakeFS is a data version control platform that applies Git-style branches, commits and rollbacks to data lakes. It is aimed at data engineering and AI teams that need reproducible data.
What it does
lakeFS tracks versions of the data in your lake. Teams can create isolated branches to test pipeline changes on production data without copying it. Each run can be traced back to the exact data it used, and a bad change can be rolled back. The platform also controls access for tools, users and agents, and keeps an audit trail of data lineage.
Key features
- Branches for testing pipeline changes
- Zero-copy testing on production data
- Rollback after a data incident
- Lineage and audit trail
- Access control for tools and agents
Who it's for
lakeFS suits data engineering teams, machine learning teams and anyone who needs to reproduce past results. It is most useful where data changes often and many people work on it.
Pricing and good to know
The site offers a demo and a trial of the product. It is a data platform, so plan for setup work to connect it to your existing data flows. Its value comes from putting those flows under version control.
Highlights
- Creates isolated branches for pipeline tests
- Tests changes on production data without copying it
- Rolls back data after an incident
- Records lineage and an audit trail
- Controls access for tools, users and agents
