DagsHub vs LakeFS: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for DagsHub and LakeFS side by side. This page compares data; it is not a hands-on review.
On the data: On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
DagsHub
Manage your entire AI lifecycle, from data to deployment
Best for you if:
- • You want comprehensive platform covering the full AI lifecycle
LakeFS
Apply Git-like version control to your data lake for reproducible AI and streamlined data workflows.
Best for you if:
- • You want accelerates AI delivery and development velocity
| At a Glance | DagsHub | LakeFS |
|---|---|---|
Starts at | Free plan, paid from $119/user/mo, billed monthly Team plan | Free plan |
Category | Version Control Data & Databases | DevOps Data & Databases |
Rating | 4.8/5 G2 4.8 14 reviews | n/a |
Free plan | Yes | Yes |
Watch out for | Storage limits (20GB Individual, 1TB Team) | Potential for high storage costs with cloud providers |
Choose DagsHub or LakeFS?
Choose DagsHub if
- You want comprehensive platform covering the full AI lifecycle
- You want strong support for multimodal data, including vision, audio, and LLM
- You work in version control, not DevOps
Choose LakeFS if
- You want accelerates AI delivery and development velocity
- You want ensures data quality and compliance with isolated testing and instant rollbacks
- You work in DevOps, not version control
In-Depth Analysis
DagsHub
Manage your entire AI lifecycle, from data to deployment
DagsHub offers a very generous free 'Individual' tier, making it highly accessible for personal projects and non-commercial use.
Watch out
Storage limits (20GB Individual, 1TB Team)
Strengths
- Pro: Comprehensive platform covering the full AI lifecycle.
- Pro: Strong support for multimodal data, including vision, audio, and LLM.
- Pro: Seamless integration with popular ML tools like MLflow.
- Pro: Facilitates collaboration among data science teams.
- Pro: Offers flexible deployment options, including on-premise for enterprises.
Weaknesses
- Con: The free tier has limitations on private repository collaborators and tracked experiments.
- Con: Advanced features like petabyte-scale data management are exclusive to enterprise plans.
- Con: 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.
LakeFS offers a very generous 'Open Source' tier that is free forever and includes almost all features, making it highly accessible.
Watch out
Potential for high storage costs with cloud providers
Strengths
- Pro: Accelerates AI delivery and development velocity.
- Pro: Ensures data quality and compliance with isolated testing and instant rollbacks.
- Pro: Reduces storage costs by avoiding data duplication.
- Pro: Streamlines data science and MLOps workflows.
- Pro: Provides transparent, traceable, and repeatable development for AI.
Weaknesses
- Con: Specific advanced features like Iceberg REST Catalog and Metadata Search are only available in the Enterprise plan.
- Con: SOC2 support is exclusively offered in the Enterprise plan.
- Con: 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
Plans and prices: DagsHub vs LakeFS
| Tool | Plans and prices | Source |
|---|---|---|
| DagsHub |
| dagshub.com/pricing read Nov 2, 2026 |
| LakeFS |
| lakefs.io/pricing read Oct 29, 2026 |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on DagsHub pricing and LakeFS pricing.
Key Takeaways
DagsHub
- Choose if you want manage your entire AI lifecycle, from data to deployment
LakeFS
- Choose if you want apply Git-like version control to your data lake for reproducible AI and streamlined data workflows
What the data shows
On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
- Only DagsHub has a published user rating (4.8/5 from 14 reviews); LakeFS has none we can show.
- DagsHub starts at $119/user/mo, billed monthly; LakeFS has no public paid plan price on file.
- Both have a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do DagsHub and LakeFS compare in 2026?
On the data below the two are close or not directly comparable, so we do not name a winner for this pair. Only DagsHub has a published user rating (4.8/5 from 14 reviews); LakeFS has none we can show. DagsHub starts at $119/user/mo, billed monthly; LakeFS has no public paid plan price on file. Both have a free plan.
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's cheapest paid plan is Team at $119/user/mo, billed monthly; it also has a free plan. LakeFS has no public paid-plan price on file. Prices read on the vendors' pricing pages, latest check Nov 2, 2026.
What's the main difference between DagsHub and LakeFS?
DagsHub's main strength: comprehensive platform covering the full AI lifecycle. LakeFS's main strength: accelerates AI delivery and development velocity.