Increase data quality and reduce the painful cost of errors

Transform your data lake into a Git-like repository

The lakeFS open source project for data lakes allows data versioning, rollback, debugging, testing in isolation, and more – all in one.

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Data versioning at scale

Our data is transient and dealing with it is an inefficient and manual task. With lakeFS,
your data lake is versioned and you can easily time-travel between consistent snapshots of the lake.

Develop on top of production
data, in isolation

Safely Experiment and test on
production data
Easily Collaborate on production
data with your team
Ensure high quality of data pipeline
output

Deploy data with confidence

Continuously deliver high quality data
to the consumers
Enforce best practices and compliance
on your data lake

Effective troubleshooting and
reverting in production

Troubleshoot on an isolated version
of production data at the time of the
failure
Rapidly recover from data quality
issues in production
Rapidly recover from quality
issues in production

Works seamlessly with today’s data stack

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