DVC vs LakeFS: Which is Better in 2026?
Choosing between DVC and LakeFS comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
DVC
Manage data and machine learning models like code with Git-like version control.
Best for you if:
- • You need version control features specifically
- • Applies Git-like version control to data and machine learning models.
- • Enables reproducibility, collaboration, and traceability for data science projects.
LakeFS
Apply Git-like version control to your data lake for reproducible AI and streamlined data workflows.
Best for you if:
- • You need data & databases features specifically
- • Applies Git-like version control to data lakes for managing data lifecycle and provenance.
- • Enables isolated testing, instant rollbacks, and reproducible AI/ML training.
| At a Glance |  DVC |  LakeFS |
|---|---|---|
Starts at | Contact us/molakeFS Enterprise | Free forever/moOpen Source |
Best For | Version Control | Data & Databases |
Rating | - | - |
Choose DVC or LakeFS?
Choose DVC if
Manage data and machine learning models like code with Git-like version control.
- Free and open source
- Brings software engineering best practices to data science
- Enhances reproducibility and collaboration
- Your work is version control-shaped, not data & databases-shaped
Choose LakeFS if
Apply Git-like version control to your data lake for reproducible AI and streamlined data workflows.
- Accelerates AI delivery and development velocity.
- Ensures data quality and compliance with isolated testing and instant rollbacks.
- Reduces storage costs by avoiding data duplication.
- Your work is data & databases-shaped, not version control-shaped
| Feature | DVC | LakeFS |
|---|---|---|
| Pricing Model | Freemium | Freemium |
| User Rating | No ratings yet | No ratings yet |
| Categories | Version ControlDeveloper Tools | Data & DatabasesVersion Control |
In-Depth Analysis
DVC
Manage data and machine learning models like code with Git-like version control.
Strengths
- +Free and open source
- +Brings software engineering best practices to data science
- +Enhances reproducibility and collaboration
- +Scalable for various project sizes
- +Integrates well with existing Git workflows
Weaknesses
- -Requires familiarity with Git concepts
- -May have a learning curve for new users
Key features
LakeFS
Apply Git-like version control to your data lake for reproducible AI and streamlined data workflows.
Strengths
- +Accelerates AI delivery and development velocity.
- +Ensures data quality and compliance with isolated testing and instant rollbacks.
- +Reduces storage costs by avoiding data duplication.
- +Streamlines data science and MLOps workflows.
- +Provides transparent, traceable, and repeatable development for AI.
Weaknesses
- -Specific advanced features like Iceberg REST Catalog and Metadata Search are only available in the Enterprise plan.
- -SOC2 support is exclusively offered in the Enterprise plan.
- -While lakeFS supports multiple cloud providers, lakeFS Cloud currently supports AWS, Azure, and GCP, potentially limiting options for users on other cloud platforms for the managed service.
Key features
Pricing: DVC vs LakeFS
| Plan | DVC | LakeFS |
|---|---|---|
| Tier 1 | Contact us lakeFS Enterprise | Free forever Open Source |
| Tier 2 | Free lakeFS (Free and open source) | Contact sales Enterprise |
| Tier 3 | Free DVC (Free and open source) | N/A |
Pricing verified from each vendor's public pricing page. Compare in detail on DVC pricing and LakeFS pricing.
Who Should Use What?
On a budget?
Both are freemium. Compare plans on their websites.
Go with: DVC
Want the highest-rated option?
Neither has user reviews yet.
Go with: DVC
Value user reviews?
Neither has user reviews yet.
Go with: DVC
3 Questions to Help You Decide
What's your budget?
Both are freemium. Pricing won't help you decide here.
What's your use case?
DVC is a version control tool. LakeFS is in data & databases. Pick the category that matches your needs.
How important are ratings?
Neither has user reviews yet.
Key Takeaways
DVC
- Free tier available
- Our pick for this comparison
LakeFS
- Better fit for data & databases
The Bottom Line
DVC is our pick.
Frequently Asked Questions
Is DVC or LakeFS better?
DVC is rated in our evaluation. Both are freemium.
What are DVC and LakeFS used for?
DVC: Manage data and machine learning models like code with Git-like version control.. LakeFS: Apply Git-like version control to your data lake for reproducible AI and streamlined data workflows..
What does DVC cost vs LakeFS?
DVC is freemium (free tier + paid plans). LakeFS is freemium (free tier + paid plans). Visit their websites for detailed pricing.