Software · head to head
Dataiku vs Tableau

Tableau
Software
Visual analytics platform for business intelligence
- From
- $70/month
- Rated
- -
The short version
- Only Dataiku has a free tier, so it costs nothing to try first.
- Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; Tableau listed on UK G-Cloud at £9.47 per device per month for the Salesforce Tableau Platform edition, via reseller XMA Limited
- They diverge on capability: Dataiku covers Visual data prep, Tableau covers Interactive Dashboards.
Where they differ
Only the attributes on which Dataiku and Tableau actually diverge.
Identical on both: 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
- Python
- R
- Spark
Only in Tableau
- Interactive Dashboards
- Data Blending
- Real-time Analytics
- Advanced Visualizations
- Mobile Support
- Salesforce
- SAP
- Oracle
Both cover
- Snowflake
- Web 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 Tableau
- Giving analysts and data scientists a shared visual and code environmentnot Tableau
Tableau
- Self-service analyticsnot Dataiku
- Data explorationnot Dataiku
- Ad-hoc reportingnot Dataiku
- Collaborative analysisnot Dataiku
- Embedded analyticsnot 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
Tableau
- Listed on UK G-Cloud at £9.47 per device per month for the Salesforce Tableau Platform edition, via reseller XMA Limited
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Tableau
$70/month- Creator$70/month
- Full authoring capabilities
- Prep Builder
- Data Management
- Explorer$42/month
- Web editing
- Self-service analytics
- Viewer$15/month
- View and interact with dashboards
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.
Choose Tableau if
- You need interactive dashboards.
- You work on Web, Desktop, Mobile.
- You also want data blending.
Questions people ask
- Is Dataiku or Tableau better?
- Neither clearly leads. Dataiku starts at Free and Tableau at $70/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Tableau?
- Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and $70/month for Tableau.
- Does Dataiku or Tableau run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Tableau runs on Web, Desktop, Mobile.
- Can I use Dataiku for free?
- Yes. Dataiku has a free tier, so you can try it without paying. Tableau starts at $70/month.
- 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 Tableau is typically brought in for.
- What can Dataiku do that Tableau cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Tableau covers Interactive Dashboards, Data Blending, Real-time Analytics, Advanced Visualizations. Both handle Snowflake, Web support.
Related pages
Keep looking
Other head to heads
- Dataiku vs AWS SageMaker
- Dataiku vs Google Vertex AI
- Dataiku vs Azure Machine Learning
- Dataiku vs DataRobot
- Dataiku vs Snowflake
- Dataiku vs TensorFlow
- Dataiku vs Comet ML
- Dataiku vs Keras
- Dataiku vs MLflow
- Dataiku vs Jupyter
- Dataiku vs PyTorch
- Dataiku vs scikit-learn
- Dataiku vs Apache Spark MLlib
- Dataiku vs Weights & Biases
- Dataiku vs Alteryx
- Dataiku vs Anaconda
- Dataiku vs Databricks
- Dataiku vs DVC
- Dataiku vs Looker
- Dataiku vs Metabase
- Dataiku vs Redash
- Dataiku vs Fibery
- Dataiku vs Apache Superset
- Dataiku vs Baserow
- Dataiku vs Budibase
- Dataiku vs NocoDB
- Tableau vs AWS SageMaker
- Tableau vs Google Vertex AI
- Tableau vs Azure Machine Learning
- Tableau vs DataRobot
- Tableau vs Snowflake
- Tableau vs TensorFlow
- Tableau vs Comet ML
- Tableau vs Keras
- Tableau vs MLflow
- Tableau vs Jupyter
- Tableau vs PyTorch
- Tableau vs scikit-learn
- Tableau vs Apache Spark MLlib
- Tableau vs Weights & Biases
- Tableau vs Alteryx
- Tableau vs Anaconda
- Tableau vs Databricks
- Tableau vs DVC
- Tableau vs Looker
- Tableau vs Metabase
- Tableau vs Redash
- Tableau vs Fibery
- Tableau vs Apache Superset
- Tableau vs Baserow
- Tableau vs Budibase
- Tableau vs NocoDB

