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Machine Learning & Data Science · head to head

Dataiku vs Weka

Dataiku logo

Dataiku

Machine Learning & Data Science

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
Weka logo

Weka

Machine Learning & Data Science

Collection of machine learning algorithms

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; 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: Dataiku covers Visual data prep, Weka covers Classification.

Where they differ

Only the attributes on which Dataiku and Weka actually diverge.

Attributes where Dataiku and Weka differ
AttributeDataikuWeka
Pricing modelfreemiumopen-source
PlatformsLinux, Mac, Windows, WebLinux, Mac, Windows
Founded20131993

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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 Dataiku

  • Visual data prep
  • AutoML
  • MLOps
  • Collaboration
  • Governence
  • Spark
  • Snowflake
  • Databricks

Only in Weka

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

Both cover

  • Python
  • R
  • Linux support
  • Mac support
  • Windows support

What people use each for

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

Dataiku

  • Building and deploying data science and machine learning pipelinesnot Weka
  • Giving analysts and data scientists a shared visual and code environmentnot Weka

Weka

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

Where each one falls short

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

Dataiku

  • No pricing is published at any tier, and the plans page carries no figures at all
  • User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
  • Access begins with a demo request or a trial rather than a self serve signup

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

Dataiku

Free
  • Free EditionFree
    • Single user
    • Core features
  • EnterpriseFree
    • Full platform
    • Collaboration
    • MLOps

Weka

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

Which should you pick?

Choose Dataiku if

  • You need visual data prep.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want automl.
Dataiku 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 Dataiku or Weka better?
Neither clearly leads. Dataiku 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, Dataiku or Weka?
Dataiku starts at Free and Weka at Free.
Does Dataiku or Weka run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Weka runs on Linux, Mac, Windows.
Can I use Dataiku for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dataiku best used for?
Dataiku is most often used for building and deploying data science and machine learning pipelines, giving analysts and data scientists a shared visual and code environment. Of those, building and deploying data science and machine learning pipelines and giving analysts and data scientists a shared visual and code environment are not what Weka is typically brought in for.
What can Dataiku do that Weka cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Weka covers Classification, Regression, Clustering, Association rules. Both handle Python, R, Linux support, Mac support.
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