Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
DVC.org provides Data Version Control that uses a Git-like model to bring software engineering practices to data, AI/ML, and data science teams. It offers lakeFS-based enterprise data version control, a Git extension for local workflows, and a VS Code extension for individual data scientists to manage data, models, and data lakes at scale. The project is open source with a community, documentation, and resources, including features like zero-copy imports from DVC-tracked data to lakeFS for scalable data-lake collaboration.
Tone of voice
72% of how AI describes DVC reads positive.
Words AI uses
AI reaches for best · industry standard · lightweight when it describes DVC.
Sources
dvc.org shapes more of what AI says about DVC than any other source, at 17% of its citations.
medium.com · en.wikipedia.org · doc.dvc.org · zenml.io
The market map
Data Version Control Tools →