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LakeFS

Git for your data lake.

★★★★★ 4.5 3,800 saves Starting price: Free

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Tool information

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LakeFS versions data lakes like Git for reproducible ML training.

Data teams use it to branch datasets, roll back bad imports, and test safely.

In-depth review

Git for your data lake. LakeFS competes in the AI Model Training category, where our editors have reviewed 294 tools so far. It has been bookmarked by 3,800 readers, making it one of the most discussed options in its class. This in-depth review breaks down exactly where LakeFS shines, where it falls short, and who should choose it.

In real-world use, LakeFS's clearest strengths are Git-like data versioning; Branch and merge datasets; Reproducible pipelines. These advantages matter most for Versioning data, Branching datasets, Rolling back imports, Testing pipelines — the exact workload LakeFS was designed around. Readers who prioritise these qualities consistently rank it among their favourites in AI Model Training.

No tool is perfect — before you commit, weigh Self-hosting needs DevOps; Learning curve for teams. LakeFS pricing starts at Free. Always confirm the latest plans on the official website, because prices change often. Because you can evaluate the full experience free of charge, LakeFS is a low-risk tool to try this week. LakeFS is a solid, well-reviewed choice in AI Model Training and deserves a place on your shortlist.

How LakeFS compares

LakeFS is rated 4.5 out of 5, below the AI Model Training category average of 4.5 across 294 rated tools. Its closest alternatives are Entry Point AI, Roboflow, Labelbox. Popular alternatives include Entry Point AI, Roboflow, Labelbox. Compare their pricing, ratings, and reviews before you decide.

Pricing

LakeFS pricing starts at Free. Always confirm the latest plans on the official website, because prices change often.