
AI visibility report
lakeFS ranks #1 in AI Data Curation and Dataset Versioning AI search.
Outside the top three on 3 of the 25 prompts buyers actually ask.
Encord is cited on 3 of those losses.
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Overview
lakeFS, developed by Treeverse, is an open-source data version control system that applies Git-like operations—branching, committing, merging, and reverting—to data lakes stored in object storage (Amazon S3, Azure Blob Storage, Google Cloud Storage). Founded in 2020 by Oz Katz and Dr. Einat Orr, lakeFS operates as a metadata layer atop existing storage without moving or duplicating data. It enables data and AI/ML teams to create isolated environments for testing, ensure reproducibility of model training, enforce data quality via CI/CD hooks, roll back from data incidents, and maintain full data lineage and audit trails. Available as a free open-source edition and a commercial Enterprise tier, lakeFS is used by organizations including Arm, Netflix, Volvo, Lockheed Martin, NASA, and the U.S. Department of Energy. In November 2025, lakeFS acquired the DVC open-source project from Iterative.ai, extending its reach from enterprise to individual practitioners.