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Machine Learning · head to head

DVC vs MySQL

DVC logo

DVC

Machine Learning

Git-style versioning for data sets and models, with the files kept in object storage

From
Free
Rated
-
Full reviewWebsite
MySQL logo

MySQL

Web Development

The world's most popular open source database

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DVC dVC knows only about files that were added through DVC, so one person copying data in by hand leaves a pipeline that reproduces to a different answer with no error and nothing to indicate which result is the real one.; MySQL hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component
  • They diverge on capability: DVC covers Pointer-file versioning, MySQL covers ACID compliance.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DVC and MySQL actually diverge.

Attributes where DVC and MySQL differ
AttributeDVCMySQL
Pricing modelopen-sourcefreemium
PlatformsLinux, Mac, WindowsWindows, Macos, Linux, Unix
CategoryMachine LearningWeb Development
Founded20181995

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DVC

  • Pointer-file versioning
  • Remote storage backends
  • Pipeline definitions
  • Stage caching
  • Experiment tracking
  • Metrics and plots comparison
  • Data registry pattern
  • Content-addressed cache

Only in MySQL

  • ACID compliance
  • SQL support
  • Multi-version concurrency control
  • Replication
  • Partitioning
  • Stored procedures
  • Triggers
  • Views

What people use each for

The jobs each tool is most often brought in to do.

DVC

  • Making a model reproducible by tying the exact data set version, code commit and parameters together in one Git historynot MySQL
  • Keeping large training data out of Git while still having a repository that describes it preciselynot MySQL
  • Skipping expensive preprocessing stages that have not changed, when iterating on a later stage of a pipelinenot MySQL
  • Teams that need reproducibility but cannot get approval or budget to stand up a platform for itnot MySQL

MySQL

  • Web application backendnot DVC
  • E-commerce platformsnot DVC
  • Content management systemsnot DVC
  • Data warehousingnot DVC
  • Business applicationsnot DVC

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DVC

  • DVC knows only about files that were added through DVC, so one person copying data in by hand leaves a pipeline that reproduces to a different answer with no error and nothing to indicate which result is the real one.
  • Every tracked revision writes a new pointer into Git and a new copy into the remote cache, so a data set revised daily accumulates full copies in object storage and the storage bill grows with the length of the history rather than the size of the data.
  • Merge conflicts in dvc.lock and dvc.yaml are routine on parallel branches and are unreadable to anyone who has not learned the format, which in practice means the person who introduced DVC resolves all of them.
  • Checking out a large data set materialises it in the working directory, so a laptop working against a repository with several hundred gigabytes tracked needs disk for the workspace and the cache together, and the reflink or hardlink optimisations that avoid doubling that are filesystem-dependent.
  • It has no access control of its own and inherits whatever the remote grants, so a repository everyone can read plus a bucket everyone can read means everyone can reconstruct every historical version of every data set, which is frequently not what was intended.

MySQL

  • Hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component
  • Transparent Data Encryption, data masking and de-identification are Enterprise Edition only
  • MySQL Enterprise Firewall, which guards against SQL injection, and MySQL Enterprise Audit are both paid components
  • External authentication against PAM or Windows Active Directory requires MySQL Enterprise Authentication
  • The thread pool ships as MySQL Enterprise Scalability rather than in the community build

Pricing, plan by plan

DVC

Free
  • Open SourceFree
    • Data versioning
    • Pipeline management
    • Experiment tracking
  • DVC StudioFree
    • Web UI
    • Team collaboration
    • Visualizations

MySQL

Free
  • Community EditionFree
    • Open source license
    • Full SQL support
    • InnoDB storage engine
  • Standard Edition$2000/year
    • Commercial license
    • Oracle Premier Support
    • MySQL Enterprise backup
  • Enterprise Edition$5000/year
    • Advanced security
    • MySQL Enterprise Monitor
    • High Availability

Which should you pick?

Choose DVC if

  • You need pointer-file versioning.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want remote storage backends.
DVC review

Choose MySQL if

  • You need acid compliance.
  • You want to start without paying.
  • You work on Windows, Macos, Linux, Unix.
  • You also want sql support.
MySQL review

Questions people ask

Is DVC or MySQL better?
Neither clearly leads. DVC starts at Free and MySQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DVC or MySQL?
DVC starts at Free and MySQL at Free.
Does DVC or MySQL run on more platforms?
DVC runs on Linux, Mac, Windows. MySQL runs on Windows, Macos, Linux, Unix.
Can I use DVC for free?
Both have a free tier, so you can try either at no cost before committing.
What is DVC best used for?
DVC is most often used for making a model reproducible by tying the exact data set version, code commit and parameters together in one git history, keeping large training data out of git while still having a repository that describes it precisely, skipping expensive preprocessing stages that have not changed, when iterating on a later stage of a pipeline, teams that need reproducibility but cannot get approval or budget to stand up a platform for it. Of those, making a model reproducible by tying the exact data set version, code commit and parameters together in one git history and keeping large training data out of git while still having a repository that describes it precisely are not what MySQL is typically brought in for.
What can DVC do that MySQL cannot?
DVC covers Pointer-file versioning, Remote storage backends, Pipeline definitions, Stage caching. MySQL covers ACID compliance, SQL support, Multi-version concurrency control, Replication.

Answered from the vendors’ own pages

DVC: Does DVC put my data in Git?

No. Git gets a small pointer file containing a hash. The data goes to a cache on disk and to a remote you configure, such as an S3 bucket.

MySQL: Does MySQL cost money?

MySQL is primarily open-source and free to use. Commercial editions and support services are available but pricing is not published on the main website.

Source
DVC: Do I need to run a server?

No, and that is most of its appeal. It is a command line tool plus storage you already have. DVC Studio, the hosted web interface, is optional and separately paid.

MySQL: How do I get MySQL pricing information?

For MySQL commercial editions and support pricing, customers can contact MySQL sales directly at +1-866-221-0634 or navigate to individual product pages.

Source
DVC: How is it different from Git LFS?

Git LFS versions large files and stops there. DVC also defines pipelines, tracks which stage produced which output, records metrics and lets you compare experiments, and it works with ordinary object storage rather than an LFS server.

DVC: Is it free?

The tool is Apache 2.0 and free. You pay for the object storage that holds the data, and optionally for DVC Studio.

DVC: Can several people work on the same data set?

Yes, through the shared remote, but only if all of them use DVC for every change. The tool cannot enforce a discipline it does not own, and a single manual copy silently breaks the guarantee.

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