DVC (Data Version Control)
Open-source version control for ML data and models
About DVC (Data Version Control)
DVC extends Git with version control for large data files and ML models. Integrates with all major cloud storage. Acquired by lakeFS in 2025. Continues as open-source for data scientist-focused versioning.
Best for
Best for data scientists wanting Git-integrated version control for datasets and models
Pros & Cons
Pros
- Git-like version control for data and models
- Works with all major cloud storage
- Simple integration with existing Git workflows
Cons
- Acquired by lakeFS — future development uncertain
- Limited for very large-scale data management
- Focused on data scientists, not data engineers
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