lakeFS Acquires DVC, Uniting Data Version Control Pioneers to Accelerate AI-Ready Data
Schedule your 1:1 overview of lakeFS Iceberg REST Catalog
Turn your entire data lake into a versioned, collaborative platform built for agility and trust. With lakeFS, you gain Git-like control over your Apache Iceberg tables and all surrounding data – structured, semi-structured, or unstructured – ensuring faster development cycles, robust data quality, and simplified governance at scale.
- Gain End-to-End Data Development Agility: Develop in isolation, test changes across multiple tables without impacting production, and implement CI/CD workflows for Iceberg and all your data.
- Guarantee Reproducibility & Data Quality at Scale: Anchor ML experiments to concrete data versions, enforce data contracts with pre-commit hooks to prevent downstream failures, and instantly roll back errors across entire environments.
- Simplify Data Management & Governance: Track every change with detailed audit logs, and enforce fine-grained access control with RBAC policies across petabytes of data.
Example configuration
Imagine being able to manage AI/ML data, models, pipeline artifacts and other large object files in a Git-like manner. lakeFS offers a single, familiar interface regardless of where the data or models are stored.
Sean Merrow Senior Principal Engineering Partner Manager at 
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Here’s how:
- Tell Us Your Needs: Fill out the short form below to help us understand your specific challenges and goals.
- Get a Personalized Session: We’ll connect you with a lakeFS expert who will tailor a demo to your unique use cases for Iceberg and your data lake.
- Unlock Your Data Lake’s Potential: Discover how lakeFS helps you accelerate development, improve data quality, and streamline governance for your data operations.
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