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. 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. Easier ETL testing - test your ETLs on top of production data, in isolation, without copying anything. Safely experiment and test on full production data. Easily Collaborate on production data with your team. Automate data quality checks within data pipelines.
Features
- Promote only high quality data to production
- Atomic rollback on bad data in production
- lakeFS is fully compatible with a wide ecosystem of data engineering tools and technologies
- Automate data quality checks within data pipelines
- Bad data is not promoted, yet available in Isolation for debugging
- Safely experiment and test on full production data