Skip to content

DagsHub vs DVC: 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 DVC 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.

Data comparison compiled by Toolradar, not hand-reviewed Methodology
Data comparison 14 user reviews compared Pricing checked Nov 2, 2026

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

DVC

Manage data and machine learning models like code with Git-like version control.

Best for you if:

  • • You want free and open source
At a glance: DagsHub vs DVC
At a Glance
DagsHub DagsHub
DVC DVC
Starts at
Free plan, paid from $119/user/mo, billed monthly Team plan
Free plan
Category
Version Control Data & Databases
Version Control 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) n/a

Choose DagsHub or DVC?

DagsHub

Choose DagsHub if

  • You want comprehensive platform covering the full AI lifecycle
  • You want strong support for multimodal data, including vision, audio, and LLM
DVC

Choose DVC if

  • You want free and open source
  • You want brings software engineering best practices to data science

In-Depth Analysis

DagsHub DagsHub

Manage your entire AI lifecycle, from data to deployment

Good value

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

Multimodal data curation and annotation AI-powered Human-in-the-Loop annotation workflows Granular data filtering, sorting, and visualization Data versioning and lineage tracking Experiment tracking with MLflow compatibility Notebook versioning and diffing

DVC DVC

Manage data and machine learning models like code with Git-like version control.

Great value

The pricing for DVC and lakeFS is exceptionally generous, offering robust data version control solutions completely free of charge for their open-source versions.

Strengths

  • Pro: Free and open source
  • Pro: Brings software engineering best practices to data science
  • Pro: Enhances reproducibility and collaboration
  • Pro: Scalable for various project sizes
  • Pro: Integrates well with existing Git workflows

Weaknesses

  • Con: Requires familiarity with Git concepts
  • Con: May have a learning curve for new users

Key features

Git-like data version control Integration with Git Support for large datasets and models Scalable for enterprise AI operations Compatible with object stores and data lakes VS Code extension available

Plans and prices: DagsHub vs DVC

Plans and prices of DagsHub and DVC, as read on each vendor's pricing page. Each plan keeps its own billing unit.
Tool Plans and prices Source
DagsHub
  • Individual: Free
  • Team: $119/user/mo, billed monthly
  • Enterprise: Custom pricing
dagshub.com/pricing read Nov 2, 2026
DVC
  • lakeFS Enterprise: Custom pricing
  • lakeFS (Free and open source): Free
  • DVC (Free and open source): Free
dvc.org read Oct 4, 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 DVC pricing.

Key Takeaways

DagsHub

  • Choose if you want manage your entire AI lifecycle, from data to deployment

DVC

  • Choose if you want manage data and machine learning models like code with Git-like version control

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); DVC has none we can show.
  • DagsHub starts at $119/user/mo, billed monthly; DVC 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 DVC 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); DVC has none we can show. DagsHub starts at $119/user/mo, billed monthly; DVC has no public paid plan price on file. Both have a free plan.

What are DagsHub and DVC used for?

DagsHub: Manage your entire AI lifecycle, from data to deployment. DVC: Manage data and machine learning models like code with Git-like version control.

What does DagsHub cost vs DVC?

DagsHub's cheapest paid plan is Team at $119/user/mo, billed monthly; it also has a free plan. DVC 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 DVC?

DagsHub's main strength: comprehensive platform covering the full AI lifecycle. DVC's main strength: free and open source.

Related Comparisons & Resources

Compare other tools