Softwr

Machine Learning · head to head

Dataiku vs Tableau

Dataiku logo

Dataiku

Machine Learning

Browser-based platform where visual data preparation and written code share one pipeline

From
Free
Rated
-
Full reviewWebsite
Tableau logo

Tableau

Spreadsheets

Visual analytics platform for business intelligence

From
$70/month
Rated
-
Full reviewWebsite

The short version

  • Only Dataiku has a free tier, so it costs nothing to try first.
  • Each has a real cost: Dataiku visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.; Tableau pricing not displayed on product homepage; vendors require visit to pricing calculator or sales contact
  • They diverge on capability: Dataiku covers Visual Flow, Tableau covers Interactive Dashboards.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and Tableau actually diverge.

Attributes where Dataiku and Tableau differ
AttributeDataikuTableau
Starting priceFree$70/month
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsLinux, Mac, Windows, WebWeb, Desktop, Mobile
CategoryMachine LearningSpreadsheets
Founded20131999

Identical on both: user rating (Not yet rated).

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 Flow
  • Visual recipes
  • Code recipes and notebooks
  • Computation pushdown
  • Automated machine learning
  • Scenarios
  • Node topology
  • Governance features

Only in Tableau

  • Interactive Dashboards
  • Data Blending
  • Real-time Analytics
  • Advanced Visualizations
  • Mobile Support
  • Salesforce
  • SAP
  • Oracle

What people use each for

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

Dataiku

  • Organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extractsnot Tableau
  • Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot Tableau
  • Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot Tableau
  • Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot Tableau

Tableau

  • Business analytics dashboards for sales, finance, and HR departmentsnot Dataiku
  • Real-time operational KPI monitoring for manufacturing and retailnot Dataiku
  • Interactive data visualization for market analysis and competitive intelligencenot Dataiku
  • Self-service analytics for business users without SQL knowledgenot Dataiku
  • Enterprise data governance and governed analytics deploymentnot Dataiku

Where each one falls short

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

Dataiku

  • Visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.
  • Production requires separate automation and API nodes, each installed and licensed, so the figure quoted for building models is not the figure for running them.
  • Licensing is per user across tiers, and the lower tiers are constrained enough that occasional contributors frequently end up needing a full seat, which makes a wide rollout cost more than the initial estimate suggested.
  • A self-hosted installation needs a dedicated administrator for upgrades, connection management, permissions and node topology, so the licence is a fraction of the real cost of ownership.
  • Computation pushes down to the warehouse or Spark cluster where it is billed by that provider, so a platform sold on making analysts self-sufficient can generate a large warehouse bill that nobody attributes back to it.

Tableau

  • Pricing not displayed on product homepage; vendors require visit to pricing calculator or sales contact

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 flow.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want visual recipes.
Dataiku review

Choose Tableau if

  • You need interactive dashboards.
  • You work on Web, Desktop, Mobile.
  • You also want data blending.
Tableau review

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 organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts, regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced, pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable place, large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will accept. Of those, organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts and regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced are not what Tableau is typically brought in for.
What can Dataiku do that Tableau cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Tableau covers Interactive Dashboards, Data Blending, Real-time Analytics, Advanced Visualizations.

Answered from the vendors’ own pages

Dataiku: Is there a free version?

There is a free edition with limits on users and features, adequate for evaluation and personal work. Anything a team runs in production is a negotiated commercial agreement.

Tableau: How much does Tableau Cloud cost?

Tableau does not list Cloud pricing on its homepage. Customers can use the Tableau pricing calculator or contact sales for rate information.

Source
Dataiku: Do I have to write code to use it?

No. That is the premise. An analyst can build a complete pipeline through visual recipes, and a data scientist can write Python next to it in the same Flow.

Tableau: What is the cost of Tableau Server on-premise?

Tableau Server pricing is not published on the product website. Licensing costs are available through the Tableau sales team or pricing calculator.

Source
Dataiku: Where does the computation actually run?

Wherever you connect it. Transformations are pushed down into the warehouse, database or Spark cluster where the data lives, which is efficient and also means the compute cost appears on that provider's bill rather than Dataiku's.

Tableau: Does Tableau offer a free or trial version?

Tableau Desktop is available for free download. Tableau Cloud and Server require licensing purchases; pricing is accessed via the calculator or sales contact.

Source
Dataiku: Can I export my work if we leave?

Code recipes are your code and leave with you. Visual recipes do not export as equivalent code, so the visual portion of a Flow has to be reimplemented, and that portion tends to be the majority in the projects where the platform succeeded best.

Dataiku: Self-hosted or cloud?

Both are offered. Self-hosting gives control over data residency and networking and requires an administrator; the managed cloud removes that work and moves the constraint to what the vendor's environment supports.

Share

Related pages

More on Dataiku

More on Tableau

Keep looking

Other head to heads