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Machine Learning · head to head

ClearML vs Palantir Foundry

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Palantir Foundry logo

Palantir Foundry

Machine Learning

Operating system for modern enterprise

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only ClearML has a free tier, so it costs nothing to try first.
  • Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Palantir Foundry custom pricing model with no public information makes budgeting difficult
  • They diverge on capability: ClearML covers Experiment tracking, Palantir Foundry covers Data integration.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which ClearML and Palantir Foundry actually diverge.

Attributes where ClearML and Palantir Foundry differ
AttributeClearMLPalantir Foundry
Starting priceFreeOn request
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tierssubscription
Free tierYesNo
PlatformsLinux, macOS, Windows, Docker, KubernetesWeb
FoundedUnknown2003

Identical on both: user rating (Not yet rated), category (Machine Learning).

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 Palantir Foundry

  • Data integration
  • Ontology modeling
  • Pipeline builder
  • Operational analytics
  • Governance
  • Enterprise systems
  • Cloud platforms
  • IoT

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 Palantir Foundry
  • Moving training from laptops to shared GPU hardware without repackagingnot Palantir Foundry
  • Versioning datasets alongside the experiments that consumed themnot Palantir Foundry

Palantir Foundry

  • Machine learningnot ClearML
  • Data analysisnot ClearML
  • Model trainingnot ClearML
  • Predictive analyticsnot 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

Palantir Foundry

  • Custom pricing model with no public information makes budgeting difficult
  • Steep implementation and configuration requirements
  • Requires significant technical expertise to operate effectively
  • Long sales cycle typical for enterprise software

Pricing, plan by plan

ClearML

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

Palantir Foundry

On request
  • EnterpriseFree
    • Full platform
    • Custom deployment
    • Enterprise support

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 Palantir Foundry if

  • You need data integration.
  • You also want ontology modeling.
Palantir Foundry review

Questions people ask

Is ClearML or Palantir Foundry better?
Neither clearly leads. ClearML starts at Free and Palantir Foundry at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Palantir Foundry?
ClearML has a free tier; the other does not. Paid plans start at Free for ClearML and On request for Palantir Foundry.
Does ClearML or Palantir Foundry run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Palantir Foundry runs on Web.
Can I use ClearML for free?
Yes. ClearML has a free tier, so you can try it without paying. Palantir Foundry starts at On request.
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 Palantir Foundry is typically brought in for.
What can ClearML do that Palantir Foundry cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Palantir Foundry covers Data integration, Ontology modeling, Pipeline builder, Operational analytics.

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.

Palantir Foundry: What is Palantir Foundry designed for?

Palantir Foundry is an enterprise data integration and analytics platform supporting end-to-end data pipelines, covering ingestion, processing, pipeline building, monitoring, and creating analytics dashboards with both code and no-code tools.

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.

Palantir Foundry: How much does Palantir Foundry cost?

Palantir Foundry uses custom pricing. No public list pricing is available. Enterprise customers and government agencies must contact Palantir directly for formal quotes and licensing terms.

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.

Palantir Foundry: Who uses Palantir Foundry?

Palantir Foundry serves enterprise and government organizations needing complex data integration, analytics, and operational intelligence across large-scale data environments.

Source
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