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Machine Learning · head to head

RapidMiner vs Weka

RapidMiner logo

RapidMiner

Machine Learning

Visual workflow data science platform, now sold by Altair as AI Studio

From
Free
Rated
-
Full reviewWebsite
Weka logo

Weka

Machine Learning

Collection of machine learning algorithms

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: RapidMiner processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.; Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
  • They diverge on capability: RapidMiner covers Visual process canvas, Weka covers Classification.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which RapidMiner and Weka actually diverge.

Attributes where RapidMiner and Weka differ
AttributeRapidMinerWeka
Pricing modelfreemiumopen-source
PlatformsLinux, Mac, Windows, WebLinux, Mac, Windows
Founded20071993

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 RapidMiner

  • Visual process canvas
  • Operator library
  • Automatic modelling
  • Python and R operators
  • Validation operators
  • Text and time series extensions
  • AI Hub server
  • Altair portfolio integration

Only in Weka

  • Classification
  • Regression
  • Clustering
  • Association rules
  • Feature selection
  • Java
  • R
  • Python

What people use each for

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

RapidMiner

  • Modelling work in an engineering organisation where the analysis must be reviewable by people who do not codenot Weka
  • Teaching data science concepts, where seeing the validation split as a visible connection is more instructive than reading a function callnot Weka
  • Companies already holding Altair licences, where adding this draws on units already purchased rather than a new procurementnot Weka
  • Business analysts building predictive workflows without a data science team to hand the problem tonot Weka

Weka

  • Teaching and exploring classic machine learning algorithms through a GUInot RapidMiner
  • Running data mining experiments and preprocessing without writing codenot RapidMiner

Where each one falls short

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

RapidMiner

  • Processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.
  • The operator library is the ceiling, and anything beyond it means dropping into an embedded Python or R operator, at which point the code sits inside a visual container that provides none of the version control, testing or debugging a normal repository would.
  • Two changes of ownership in three years, Altair in 2022 and Siemens thereafter, have already moved the product's name, packaging and licensing, so a buyer is committing to a roadmap decided inside a much larger engineering software business.
  • Licensing draws on Altair's shared units pool, so running heavy modelling work consumes capacity that other teams in the organisation were relying on for different products, which makes cost attribution and capacity planning awkward.
  • Scheduling and deployment require AI Hub as a separate server product to install, license and operate, so a model built on the desktop is not in production until another purchase and another installation have been completed.

Weka

  • The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
  • Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
  • Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture

Pricing, plan by plan

RapidMiner

Free
  • FreeFree
    • 10,000 data rows
    • 1 logical processor
  • ProfessionalFree
    • Unlimited data
    • Full features
    • Support

Weka

Free
  • Open SourceFree
    • All ML algorithms
    • GUI and CLI
    • Java API

Which should you pick?

Choose RapidMiner if

  • You need visual process canvas.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want operator library.
RapidMiner review

Choose Weka if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want regression.
Weka review

Questions people ask

Is RapidMiner or Weka better?
Neither clearly leads. RapidMiner starts at Free and Weka at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, RapidMiner or Weka?
RapidMiner starts at Free and Weka at Free.
Does RapidMiner or Weka run on more platforms?
RapidMiner runs on Linux, Mac, Windows, Web. Weka runs on Linux, Mac, Windows.
Can I use RapidMiner for free?
Both have a free tier, so you can try either at no cost before committing.
What is RapidMiner best used for?
RapidMiner is most often used for modelling work in an engineering organisation where the analysis must be reviewable by people who do not code, teaching data science concepts, where seeing the validation split as a visible connection is more instructive than reading a function call, companies already holding altair licences, where adding this draws on units already purchased rather than a new procurement, business analysts building predictive workflows without a data science team to hand the problem to. Of those, modelling work in an engineering organisation where the analysis must be reviewable by people who do not code and teaching data science concepts, where seeing the validation split as a visible connection is more instructive than reading a function call are not what Weka is typically brought in for.
What can RapidMiner do that Weka cannot?
RapidMiner covers Visual process canvas, Operator library, Automatic modelling, Python and R operators. Weka covers Classification, Regression, Clustering, Association rules.

Answered from the vendors’ own pages

RapidMiner: Is it still called RapidMiner?

The desktop product is now Altair AI Studio and the server is Altair AI Hub. The RapidMiner name persists in documentation, community material and most search results, which makes finding current information harder than it should be.

Weka: What is the cost of Weka software?

Weka is provided at no cost as open-source software released under the GNU General Public License, making it freely available for download and use.

Source
RapidMiner: Is there a free version?

Altair has offered free and academic editions with usage limits, but the terms have moved with each ownership change, so check what is currently on offer rather than relying on what the free tier allowed a few years ago.

Weka: Are there commercial licensing options available?

Yes, the project offers information about commercial licenses for organizations requiring non-GPL terms, which can be found in their commercial applications documentation.

Source
RapidMiner: Do I need to write code?

No, which is the point of it. You will write some once you hit the edge of the operator library, and at that stage the tool works against you rather than for you.

Weka: What support resources are available to users?

Multiple support avenues exist including comprehensive documentation, frequently asked questions, dedicated help resources, and access to courses for learning the platform.

Source
RapidMiner: Can I put a model into production?

Through AI Hub, which is a separate licensed server. The desktop tool builds and validates; it does not schedule or serve.

Weka: Is source code access provided?

Yes, developers have full access to source code through the Git repository, along with development documentation and code credits for contributors.

Source
RapidMiner: How does licensing work?

Through Altair's units model, where a pool of purchased units is drawn on by whichever Altair products your organisation runs, rather than a per-seat licence specific to this product.

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