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Home/Tasks/lakeFS
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lakeFS

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Quick Tool Decision

Should you use lakeFS?

lakeFS is a data version control platform that manages the data lifecycle, provenance, and unified access for AI and data teams.

Category

Coding & DevOps

Data confidence: release and verification fields are source-audited when available; other summary fields are community-aggregated.

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Overview

lakeFS is a data version control system that brings Git-like capabilities to data lakes and object storage. It enables data teams to manage data as code, providing features such as branching, merging, and reverting for data. This allows for experimentation, reproducibility, and data quality enforcement. lakeFS supports various storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage. It integrates with compute engines such as Spark, Trino, and Databricks, and is format-agnostic, working with Parquet, CSV, Avro, and more. lakeFS is designed for data engineers, data scientists, and MLOps practitioners who need to manage large datasets, ensure data quality, and streamline data workflows for AI and machine learning projects.

Common tasks

Version control for data lakesBranching and merging dataReproducible data pipelinesData quality enforcementCollaboration on data projectsData lineage trackingData governance implementation

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Pricing

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