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Machine Learning · head to head

ClearML vs IBM SPSS

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
IBM SPSS logo

IBM SPSS

Machine Learning

Statistical analysis software for data science

From
Free
Rated
-

The short version

  • Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; IBM SPSS add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
  • They diverge on capability: ClearML covers Experiment tracking, IBM SPSS covers Statistical analysis.

Where they differ

Only the attributes on which ClearML and IBM SPSS actually diverge.

Attributes where ClearML and IBM SPSS differ
AttributeClearMLIBM SPSS
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tierssubscription
PlatformsLinux, macOS, Windows, Docker, KubernetesLinux, Mac, Windows
FoundedUnknown1911

Identical on both: starting price (Free), free tier (Yes), 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 IBM SPSS

  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Survey analysis
  • Decision trees
  • Python
  • R
  • Excel

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

IBM SPSS

  • Statistical testing and regression analysis for academic and market researchnot ClearML
  • Predictive modelling and forecasting without writing codenot 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

IBM SPSS

  • Add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
  • Subscription cost renews at the then current price at the end of the first year, so the advertised rate applies to the first term only
  • Prices shown are described by IBM as indicative, vary by country and exclude applicable taxes and duties
  • Extended access periods of 12 months or more are handled as tailored pricing rather than a published rate
  • Advanced statistics, custom tables, decision trees and forecasting are separate add-ons rather than part of the base product

Pricing, plan by plan

ClearML

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

IBM SPSS

Free
  • TrialFree
    • 14-day trial
    • Full features
  • Base$99/month
    • Core statistics
    • Data management

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.

Choose IBM SPSS if

  • You need statistical analysis.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want predictive modeling.

Questions people ask

Is ClearML or IBM SPSS better?
Neither clearly leads. ClearML starts at Free and IBM SPSS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or IBM SPSS?
ClearML starts at Free and IBM SPSS at Free.
Does ClearML or IBM SPSS run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. IBM SPSS runs on Linux, Mac, Windows.
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 IBM SPSS is typically brought in for.
What can ClearML do that IBM SPSS cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis.

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.

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.

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.

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