Increase data quality and reduce the painful cost of errors

Data engineering best practices
using git-like operations on data

lakeFS is an open source data version control for data lakes.

It 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?

Data is dynamic, it changes over time. Dealing with that without a data version control system is error prone and labor intensive. With lakeFS, your data lake is version controlled 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

Data Version Control that 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

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

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3000+

Installations

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2.2K

GitHub Stars

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1800+

Community members

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Manage your data like code with data version control

Your data stays in place while lakeFS provides highly scalable, format agnostic and zero copy data version control over it

20%-80%

Storage Cost Reduction

X2

Double Data Engineering Efficiency

2 Seconds

Average time to rollback bad data

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