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 Pachyderm
2 editor-selected alternatives · Pachyderm 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.
lakeFS is an open-source platform that brings Git-like branching, committing, and merging to data lakes and object storage. It works on top of S3, GCS, Azure Blob, and MinIO, enabling teams to create isolated data branches for experimentation, run CI/CD for data pipelines, and maintain full data lineage. Acquired DVC in 2025, uniting data version control for both small and enterprise-scale workloads.
Open-source Pachyderm alternatives
DVC, lakeFS — see all open-source developer tools.
Free Pachyderm alternatives
More AI Data Tools tools
same category, not editor-selected alternatives — see how Pachyderm compares →
FAQ
Which Pachyderm alternative is listed first?
DVC is first in the editor-selected list of 2 Pachyderm alternatives. The stored order is editorial; review scores do not determine membership or position.
Are there open-source Pachyderm alternatives?
Yes — DVC, lakeFS are open source.
Are there free Pachyderm alternatives?
Yes — DVC, lakeFS offer a free plan or free tier.