Machine Learning & Data Science · head to head
Orange vs Dataiku
Orange
Machine Learning & Data Science
Data mining and visualization toolkit
- From
- Free
- Rated
- -
Dataiku
Machine Learning & Data Science
Everyday AI, Extraordinary People
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: Orange covers Visual programming, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which Orange and Dataiku actually diverge.
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 Orange
- Visual programming
- Data visualization
- Machine learning
- Text mining
- Bioinformatics
- scikit-learn
- PyQt
Only in Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- R
- Spark
- Snowflake
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.
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
Dataiku
- Building and deploying data science and machine learning pipelinesnot Orange
- Giving analysts and data scientists a shared visual and code environmentnot Orange
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Which should you pick?
Choose Orange if
- You need visual programming.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data visualization.
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.
Questions people ask
- Is Orange or Dataiku better?
- Neither clearly leads. Orange starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Orange or Dataiku?
- Orange starts at Free and Dataiku at Free.
- Does Orange or Dataiku run on more platforms?
- Orange runs on Linux, Mac, Windows. Dataiku runs on Linux, Mac, Windows, Web.
- Can I use Orange for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Orange best used for?
- Orange is most often used for visual programming for data mining and machine learning workflows, teaching data science without writing code, exploratory data visualisation and clustering on tabular data. Of those, visual programming for data mining and machine learning workflows and teaching data science without writing code are not what Dataiku is typically brought in for.
- What can Orange do that Dataiku cannot?
- Orange covers Visual programming, Data visualization, Machine learning, Text mining. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Both handle Python, Linux support, Mac support, Windows support.