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LakeFS
lakeFS is a data version control system designed to bridge the AI infrastructure gap by bringing software engineering best practices to data management.
Our verdict
Who it's for
Apply Git-like version control to your data lake for reproducible AI and streamlined data workflows.
Who should look elsewhere
Specific advanced features like Iceberg REST Catalog and Metadata Search are only available in the Enterprise plan.
Pros
- +Accelerates AI delivery and development velocity.
- +Ensures data quality and compliance with isolated testing and instant rollbacks.
- +Reduces storage costs by avoiding data duplication.
- +Streamlines data science and MLOps workflows.
- +Provides transparent, traceable, and repeatable development for AI.
Cons
- −Specific advanced features like Iceberg REST Catalog and Metadata Search are only available in the Enterprise plan.
- −SOC2 support is exclusively offered in the Enterprise plan.
- −While lakeFS supports multiple cloud providers, lakeFS Cloud currently supports AWS, Azure, and GCP, potentially limiting options for users on other cloud platforms for the managed service.
Key features
- ✓Format-Agnostic Data Version Control
- ✓Cloud-Agnostic Zero Clone copy for isolated environment (via branches)
- ✓Atomic Data Promotion (via merges)
- ✓Configurable Garbage Collection
- ✓Data CI/CD Using lakeFS Hooks
- ✓Role-Based Access Control (RBAC)
- ✓Integrates with Your Data Stack
- ✓Audit Logs
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Open Source | — | month | Format-Agnostic Data Version Control; Cloud-Agnostic; Zero Clone copy for isolated environment (via branches) |
| Enterprise | — | month | Unlimited seats; Format-Agnostic Data Version Control; Cloud-Agnostic |