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Machine Learning · head to head

DVC vs Logto

DVC logo

DVC

Machine Learning

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

From
Free
Rated
-
Logto logo

Logto

Cybersecurity

Open-source identity and authentication infrastructure for apps and APIs

From
Free
Rated
-

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.; Logto advanced features like RBAC, organizations, MFA, and enterprise SSO are billed as separate paid add-ons rather than included in Pro.
  • They diverge on capability: DVC covers Pointer-file versioning, Logto covers Prebuilt sign-in UI.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DVC and Logto actually diverge.

Attributes where DVC and Logto differ
AttributeDVCLogto
Pricing modelopen-sourcefreemium
PlatformsLinux, Mac, Windowsweb, api
CategoryMachine LearningCybersecurity
Founded2018Unknown

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 Logto

  • Prebuilt sign-in UI
  • Social connectors
  • Role-based access control
  • Multi-factor authentication
  • Machine-to-machine apps
  • Audit logs

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 Logto
  • Keeping large training data out of Git while still having a repository that describes it preciselynot Logto
  • Skipping expensive preprocessing stages that have not changed, when iterating on a later stage of a pipelinenot Logto
  • Teams that need reproducibility but cannot get approval or budget to stand up a platform for itnot Logto

Logto

  • Adding sign-in to a new SaaS productnot DVC
  • Implementing SSO for B2B customersnot DVC
  • Securing internal APIs with M2M tokensnot DVC
  • Adding RBAC and organizations to a multi-tenant appnot 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.

Logto

  • Advanced features like RBAC, organizations, MFA, and enterprise SSO are billed as separate paid add-ons rather than included in Pro.
  • Enterprise pricing is not published and requires contacting sales.
  • Token-based billing can make cost forecasting harder than flat per-MAU pricing for high-traffic apps.

Pricing, plan by plan

DVC

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

Logto

Free
  • FreeFree
    • Up to 50,000 MAU
    • 50K tokens included
    • 3 applications
  • Pro$24/month
    • Unlimited MAU and applications
    • 3 included API resources
    • Passkey sign-in

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.

Choose Logto if

  • You need prebuilt sign-in ui.
  • You want to start without paying.
  • You work on web, api.
  • You also want social connectors.

Questions people ask

Is DVC or Logto better?
Neither clearly leads. DVC starts at Free and Logto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DVC or Logto?
DVC starts at Free and Logto at Free.
Does DVC or Logto run on more platforms?
DVC runs on Linux, Mac, Windows. Logto runs on web, api.
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 Logto is typically brought in for.
What can DVC do that Logto cannot?
DVC covers Pointer-file versioning, Remote storage backends, Pipeline definitions, Stage caching. Logto covers Prebuilt sign-in UI, Social connectors, Role-based access control, Multi-factor authentication.

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.

Logto: What does Logto cost?

Logto offers a Free plan at $0/month, a Pro plan starting at $24/month with 50K free tokens included, and a custom-priced Enterprise plan. Extra add-ons like RBAC or MFA are billed separately on Pro.

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.

Logto: Is there a free plan, and what are its limits?

Yes. The Free plan supports up to 50,000 monthly active users, 3 total applications, 1 machine-to-machine app, 3 social connectors, 1 webhook, and 3-day audit log retention.

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.

Logto: How is usage metered?

Logto uses token-based billing: only access tokens issued for authentication and authorization activity are counted, rather than charging purely per MAU.

Source
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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