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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1M+

Downloads

1.5M+

Daily API calls per installation

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GitHub Stars

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2800+

Community members

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Installations

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GitHub Stars

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Community members

Trusted by

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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.

Works seamlessly with today’s data stack

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Manage your data
like code

Your data stays in place while lakeFS provides highly scalable, format agnostic and zero copy git-like operations over it

Get Git-like operations for your data, with lakeFS

Experiment

Instantly get a “copy” of your company’s data to debug or experiment

Test

Create an isolated snapshot of the data to debug issues

Collaborate

Work with your team on an isolated version of the data lake that you can all easily refer to

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Best Practices & Data Quality

Expose changes to consumers after quality has been assured with pre-merge hooks

Version control

Create discoverable history of the data lake with an ordered set of versions, and ensure clear communication on which versions are used where

Rollback

Recover from errors by instantly reverting data to a former, consistent snapshot of the data lake

Troubleshoot

Investigate production errors by starting reproducing the state of the data at the time of failure

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LakeFS

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