Increase data quality and reduce the painful cost of errors

Data engineering best practices
using git-like operations on data

The lakeFS open source project for data lakes enables zero copy Dev \ Test isolated environments, continuous quality validation, atomic rollback on bad data, reproducibility, and more.

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Why do you need Data Versioning?

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, without copying anything

Promote only high quality data to production

Atomic rollback on bad data in production

Works seamlessly with today’s data stack

lakeFS is fully compatible with a wide ecosystem of data engineering tools and technologies

Works seamlessly with today’s data stack

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3000+

Installations

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2.2K

GitHub Stars

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Community members

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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

20%-80%

Storage Cost Reduction

X2

Double Data Engineering Efficiency

99%

Faster Recovery from Production Outage

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LakeFS

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  • Join our live webinar on October 12th:

    Troubleshoot and Reproduce Data with Apache Airflow
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