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Machine Learning · head to head

Alteryx vs Dataiku

Alteryx logo

Alteryx

Machine Learning

Analytics automation platform

From
$250/month
Rated
-
Full reviewWebsite
Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Dataiku has a free tier, so it costs nothing to try first.
  • Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; 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.
  • They diverge on capability: Alteryx covers Data preparation, Dataiku covers Visual Flow.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Alteryx and Dataiku actually diverge.

Attributes where Alteryx and Dataiku differ
AttributeAlteryxDataiku
Starting price$250/monthFree
Pricing modelsubscriptionfreemium
Free tierNoYes
PlatformsWindows, WebLinux, Mac, Windows, Web
Founded19972013

Identical on both: user rating (Not yet rated), category (Machine Learning).

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 Alteryx

  • Data preparation
  • Data blending
  • Predictive analytics
  • Spatial analytics
  • Reporting
  • Python
  • R
  • Snowflake

Only in Dataiku

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

What people use each for

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

Alteryx

  • Data preparation and building AI-ready datasetsnot Dataiku
  • Predictive analytics without writing codenot Dataiku
  • Automating and orchestrating repeatable analytics workflowsnot Dataiku
  • Enterprise reporting with governed, reusable logicnot Dataiku
  • Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot Dataiku

Dataiku

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

Where each one falls short

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

Alteryx

  • Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
  • Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
  • Cost depends on three separate dimensions at once: edition, user role and automation capacity
  • Advanced analytics, governance and orchestration are withheld from the entry edition

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.

Pricing, plan by plan

Alteryx

$250/month
  • Starter Edition$250/month
    • 1-10 users
    • 50 automation runs included
    • Cloud only
  • Professional Edition$null/month
    • Basic and Full users
    • 15,000 automation runs included
    • Cloud and desktop deployment
  • Enterprise Edition$null/month
    • All user types
    • 15,000 automation runs included
    • All deployment options

Dataiku

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

Which should you pick?

Choose Alteryx if

  • You need data preparation.
  • You work on Windows, Web.
  • You also want data blending.
Alteryx review

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

Questions people ask

Is Alteryx or Dataiku better?
Neither clearly leads. Alteryx starts at $250/month and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Alteryx or Dataiku?
Dataiku has a free tier; the other does not. Paid plans start at $250/month for Alteryx and Free for Dataiku.
Does Alteryx or Dataiku run on more platforms?
Alteryx runs on Windows, Web. Dataiku runs on Linux, Mac, Windows, Web.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. Alteryx starts at $250/month.
What is Alteryx best used for?
Alteryx is most often used for data preparation and building ai-ready datasets, predictive analytics without writing code, automating and orchestrating repeatable analytics workflows, enterprise reporting with governed, reusable logic. Of those, data preparation and building ai-ready datasets and predictive analytics without writing code are not what Dataiku is typically brought in for.
What can Alteryx do that Dataiku cannot?
Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown.

Answered from the vendors’ own pages

Alteryx: How much does Alteryx Starter cost?

Alteryx Starter Edition costs $250 USD per user per month when billed annually, for teams of 1-10 users.

Source
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.

Alteryx: Is there a free trial for Alteryx?

Yes, Alteryx offers a 30-day free trial to evaluate the platform before committing to a paid plan.

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.

Alteryx: What differentiates Alteryx Professional from Starter?

Professional Edition supports both Basic and Full user roles, includes 15,000 automation runs, offers cloud and desktop deployment, connects to 100+ data sources, and enables advanced data preparation and macros. Professional and Enterprise editions require contacting sales for pricing.

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.

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.

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