DVC (Data Version Control) is a free open-source tool that brings Git-like version control to datasets, ML models, and experiment pipelines. It stores pointer files in Git while keeping large data in remote storage like S3, GCS, or Azure. Features include reproducible ML pipelines with DAG-based dependency tracking, experiment management, metrics comparison, and a VS Code extension for visual experiment tracking.
Alternatives to lakeFS
2 editor-selected alternatives · lakeFS overview →
source: tools.alternatives · stored order · active records only; review scores are annotations and never change membership or order
A directional evidence panel appears only when the substitute rationale, trade-offs, sources, and verification date have been recorded. Older selections without that panel remain visible but are unclassified under the new evidence contract.
Pachyderm is a data versioning and pipeline automation platform that provides Git-like version control for datasets with automatic data lineage tracking. Acquired by HPE, it enables reproducible ML workflows by connecting data versioning to containerized processing pipelines. Features include automatic provenance tracking, incremental processing, and deduplication for efficient storage of large datasets.
Open-source lakeFS alternatives
DVC, Pachyderm — see all open-source developer tools.
Free lakeFS alternatives
More AI Data Tools tools
same category, not editor-selected alternatives — see how lakeFS compares →
lakeFS head-to-head
FAQ
Which lakeFS alternative is listed first?
DVC is first in the editor-selected list of 2 lakeFS alternatives. The stored order is editorial; review scores do not determine membership or position.
Are there open-source lakeFS alternatives?
Yes — DVC, Pachyderm are open source.
Are there free lakeFS alternatives?
Yes — DVC, Pachyderm offer a free plan or free tier.