DVC
dvc.org
Version control for data and machine learning projects.
Quick Information
- Category:
- MLOps & Infrastructure
- Pricing:
- Free
- Platforms:
- Python, CLI
- Free Plan:
- Yes
- API Available:
- Yes
- Last Verified:
- October 2026
What Is DVC?
DVC, or Data Version Control, brings Git-style versioning to data and machine learning projects. The free core is Apache 2.0 licensed with no usage limits and no account required to use it locally, and your main cost is storage, since DVC pushes heavy files to your own remote storage such as S3 or GCS. Pricing for the surrounding products is mostly unpublished and the sources are third-party comparison sites. One source says DVC Studio offers a free tier for individuals plus custom-quoted Team and Enterprise plans, and another notes Studio's paid-tier pricing is not publicly listed. For DataChain, per a comparison page checked on October 5, 2026, the open-source tier is free, the Teams tier is listed at $70 per team and marked coming soon with no billing period, up to 5 users, and Enterprise is custom, while another review says the Studio team price is forthcoming.
Ownership: one source says that in November 2025 DVC was acquired by lakeFS, which now stewards the open-source project, and flags roadmap uncertainty, while a comparison notes exact per-seat rates remain unknown. I did not find official pricing pages, so verify ownership and any plan details with the vendors before committing, and note that the rebrand toward DataChain may change what is sold. For most teams, DVC itself costs only the storage and compute you already use.
DVC suits data scientists who want reproducible experiments and large-file versioning alongside Git. Compare lakeFS, Comet and ClearML. Browse the MLOps & Infrastructure tools directory for more.
What Can You Use DVC For?
Data and model versioning
Git-based.
Reproducible ML pipelines
Tracked stages.
DVC Features
- Remote storage support — S3, GCS and more.
- DataChain successor — Studio and DataChain.
- lakeFS stewardship — Reported November 2025.
Who Is DVC For?
- Data scientists — Reproducibility.
- ML engineers — Large file versioning.
DVC Pros & Limitations
What We Like
- Free and open source
- Works with Git
- No account needed
Limitations
- Studio pricing unpublished
- Ownership and roadmap uncertain
- Sources are third-party
DVC Pricing
| Plan | Price | Main Features |
|---|---|---|
| DVC (open source) | Free (Apache 2.0) | No usage limits; you pay for your own storage |
| DVC Studio | Free for individuals; Team and Enterprise by quote | Paid pricing not public |
| DataChain Teams | Listed $70 per team, marked coming soon | Up to 5 users; Enterprise custom |
Pricing was last verified October 2026. Check the official website for the latest pricing.
AI Listing Jungle Ranking
- Global Rank:
- #16
- Overall Score:
- 94.4/100
- Monthly Users:
- –
- Rank Change:
- ▲ 1542
This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by DVC or its company. How Our Rankings Work
Frequently Asked Questions
Is DVC free?
Yes, Apache 2.0.
Who owns DVC?
One source says lakeFS acquired it in November 2025.
What does Studio cost?
Free for individuals; teams by quote.
Where is data stored?
In your own remote storage.
Our Take
DVC is a staple for versioning data.
Check the project's roadmap under lakeFS.
DVC Alternatives
DVC Comparisons
Ready to try DVC?
Visit the official website to get started.
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