Softwr

Machine Learning · head to head

ClearML vs Duplicati

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Duplicati logo

Duplicati

File Storage

Free open-source backup with encryption

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Duplicati no managed service or commercial support
  • They diverge on capability: ClearML covers Experiment tracking, Duplicati covers AES-256 encryption.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which ClearML and Duplicati actually diverge.

Attributes where ClearML and Duplicati differ
AttributeClearMLDuplicati
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersUnknown
PlatformsLinux, macOS, Windows, Docker, KubernetesWindows, macOS, Linux
CategoryMachine LearningFile Storage
FoundedUnknown2008

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 ClearML

  • Experiment tracking
  • Remote execution
  • Data versioning
  • Pipelines

Only in Duplicati

  • AES-256 encryption
  • Incremental backup
  • Deduplication
  • Multiple cloud backends
  • Compression
  • Web interface
  • AWS S3
  • Azure

What people use each for

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

ClearML

  • Tracking experiments across a team so results are reproduciblenot Duplicati
  • Moving training from laptops to shared GPU hardware without repackagingnot Duplicati
  • Versioning datasets alongside the experiments that consumed themnot Duplicati

Duplicati

  • Data protectionnot ClearML
  • Disaster recoverynot ClearML
  • Business continuitynot ClearML
  • Ransomware protectionnot ClearML
  • Compliancenot ClearML

Where each one falls short

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

ClearML

  • Broad scope means more to learn and more to run than a focused tracking tool
  • Self-hosting the server is real infrastructure — database, file storage and web server
  • Documentation quality is uneven across the newer parts of the platform
  • Smaller community than the most popular tracking tools, so fewer worked examples exist

Duplicati

  • No managed service or commercial support
  • Relies on community support
  • No enterprise features

Pricing, plan by plan

ClearML

Free
  • Open sourceFree
    • Experiment tracking
    • Pipelines
    • Self-hosted server

Duplicati

Free

No published plan breakdown. See the Duplicati review.

Which should you pick?

Choose ClearML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want remote execution.
ClearML review

Choose Duplicati if

  • You need aes-256 encryption.
  • You want to start without paying.
  • You work on Windows, macOS, Linux.
  • You also want incremental backup.
Duplicati review

Questions people ask

Is ClearML or Duplicati better?
Neither clearly leads. ClearML starts at Free and Duplicati at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Duplicati?
ClearML starts at Free and Duplicati at Free.
Does ClearML or Duplicati run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Duplicati runs on Windows, macOS, Linux.
Can I use ClearML for free?
Both have a free tier, so you can try either at no cost before committing.
What is ClearML best used for?
ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Duplicati is typically brought in for.
What can ClearML do that Duplicati cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Duplicati covers AES-256 encryption, Incremental backup, Deduplication, Multiple cloud backends.

Answered from the vendors’ own pages

ClearML: Is ClearML free?

The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.

Duplicati: Is Duplicati free?

Yes. Duplicati is completely free and open-source under the LGPL license. There are no premium tiers, trials, or limitations.

Source
ClearML: How much code does tracking require?

Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.

Duplicati: What does Duplicati support?

Duplicati supports zero-trust, fully encrypted backups to local storage, network drives, and cloud services. It includes deduplication and incremental backups.

Source
ClearML: Does ClearML replace MLflow?

It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.

Duplicati: What are the platforms?

Duplicati runs on Windows, macOS, and Linux. It can back up data to local storage, network drives, or cloud providers.

Source
Share

Related pages

More on ClearML

More on Duplicati

Keep looking

Other head to heads