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Software · head to head

Dataiku vs Orange

Dataiku logo

Dataiku

Software

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
Orange logo

Orange

Software

Data mining and visualization toolkit

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; Orange orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL
  • They diverge on capability: Dataiku covers Visual data prep, Orange covers Visual programming.

Where they differ

Only the attributes on which Dataiku and Orange actually diverge.

Attributes where Dataiku and Orange differ
AttributeDataikuOrange
Pricing modelfreemiumopen-source
PlatformsLinux, Mac, Windows, WebLinux, Mac, Windows
Founded20131996

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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
  • R
  • Spark
  • Snowflake

Only in Orange

  • Visual programming
  • Data visualization
  • Machine learning
  • Text mining
  • Bioinformatics
  • scikit-learn
  • PyQt

Both cover

  • Python
  • 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 Orange
  • Giving analysts and data scientists a shared visual and code environmentnot Orange

Orange

  • Visual programming for data mining and machine learning workflowsnot Dataiku
  • Teaching data science without writing codenot Dataiku
  • Exploratory data visualisation and clustering on tabular datanot 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

Orange

  • Orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL
  • The widgets and canvas are built on Qt, which is itself distributed under GPL 3.0
  • Orange add-ons may carry additional licensing requirements set in their own licence files
  • Documentation and website content are under Creative Commons Attribution-ShareAlike, which imposes an attribution and share-alike obligation on reuse
  • The software is distributed without any warranty of merchantability or fitness for a particular purpose

Pricing, plan by plan

Dataiku

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

Orange

Free
  • Open SourceFree
    • Visual programming
    • Machine learning
    • Data visualization

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 Orange if

  • You need visual programming.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want data visualization.
Orange review

Questions people ask

Is Dataiku or Orange better?
Neither clearly leads. Dataiku starts at Free and Orange at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Orange?
Dataiku starts at Free and Orange at Free.
Does Dataiku or Orange run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Orange 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 Orange is typically brought in for.
What can Dataiku do that Orange cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Orange covers Visual programming, Data visualization, Machine learning, Text mining. Both handle Python, Linux support, Mac support, Windows support.
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