DagsHub vs LakeFS: Which is Better in 2026?
Choosing between DagsHub 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:
DagsHub
Manage your entire AI lifecycle, from data to deployment
Best for you if:
- • Unifies AI data curation, experiment tracking, and model management.
- • Supports multimodal datasets with advanced annotation and versioning.
LakeFS
Apply Git-like version control to your data lake for reproducible AI and streamlined data workflows.
Best for you if:
- • 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 |  DagsHub |  LakeFS |
|---|---|---|
Starts at | FreeFree tier available | FreeFree tier available |
Best For | Data & Databases | Data & Databases |
Rating | 4.8/5 | - |
Choose DagsHub or LakeFS?
Choose DagsHub if
Manage your entire AI lifecycle, from data to deployment
- Comprehensive platform covering the full AI lifecycle.
- Strong support for multimodal data, including vision, audio, and LLM.
- Seamless integration with popular ML tools like MLflow.
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.
| Feature | DagsHub | LakeFS |
|---|---|---|
| Pricing Model | Freemium | Freemium |
| User Rating | ★4.8/5 14 reviews | No ratings yet |
| Categories | Data & DatabasesVersion Control | Data & DatabasesVersion Control |
In-Depth Analysis
DagsHub
Manage your entire AI lifecycle, from data to deployment
Strengths
- +Comprehensive platform covering the full AI lifecycle.
- +Strong support for multimodal data, including vision, audio, and LLM.
- +Seamless integration with popular ML tools like MLflow.
- +Facilitates collaboration among data science teams.
- +Offers flexible deployment options, including on-premise for enterprises.
Weaknesses
- -The free tier has limitations on private repository collaborators and tracked experiments.
- -Advanced features like petabyte-scale data management are exclusive to enterprise plans.
- -Requires some familiarity with ML concepts and workflows for optimal use.
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: DagsHub vs LakeFS
| Plan | DagsHub | LakeFS |
|---|---|---|
| Tier 1 | $0 per user/month Individual | Free forever Open Source |
| Tier 2 | $119 per user/month Team | Contact sales Enterprise |
| Tier 3 | Custom quote Enterprise | N/A |
Pricing verified from each vendor's public pricing page. Compare in detail on DagsHub pricing and LakeFS pricing.
Who Should Use What?
On a budget?
Both are freemium. Compare plans on their websites.
Go with: DagsHub
Want the highest-rated option?
DagsHub is rated 4.8/5. LakeFS has no ratings yet.
Go with: DagsHub
Value user reviews?
DagsHub: 14 reviews (4.8/5). LakeFS: no ratings yet.
Go with: DagsHub
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?
Both are data & databases tools. Compare their specific features to decide.
How important are ratings?
DagsHub is rated 4.8/5; LakeFS has no ratings yet.
Key Takeaways
DagsHub
- Free tier available
- Our pick for this comparison
LakeFS
- Choose if you want apply Git-like version control to your data lake for reproducible AI and streamlined data workflows
The Bottom Line
DagsHub is our pick.
Frequently Asked Questions
Is DagsHub or LakeFS better?
DagsHub is rated in our evaluation. Both are freemium.
What are DagsHub and LakeFS used for?
DagsHub: Manage your entire AI lifecycle, from data to deployment. LakeFS: Apply Git-like version control to your data lake for reproducible AI and streamlined data workflows..
What does DagsHub cost vs LakeFS?
DagsHub is freemium (free tier + paid plans). LakeFS is freemium (free tier + paid plans). Visit their websites for detailed pricing.