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Machine Learning · head to head

Dataiku vs SAP Analytics Cloud

Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
SAP Analytics Cloud logo

SAP Analytics Cloud

Inventory

Enterprise inventory analytics and planning

From
On request
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.; SAP Analytics Cloud high implementation costs and complexity for large enterprises
  • They diverge on capability: Dataiku covers Visual Flow, SAP Analytics Cloud covers Advanced analytics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and SAP Analytics Cloud actually diverge.

Attributes where Dataiku and SAP Analytics Cloud differ
AttributeDataikuSAP Analytics Cloud
Starting priceFreeOn request
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsLinux, Mac, Windows, WebCloud
CategoryMachine LearningInventory
Founded20131972

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 SAP Analytics Cloud

  • Advanced analytics
  • Demand planning
  • Inventory optimization
  • Predictive modeling
  • Supply chain visibility
  • Real-time reporting
  • Machine learning capabilities
  • SAP ecosystem

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 SAP Analytics Cloud
  • Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot SAP Analytics Cloud
  • Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot SAP Analytics Cloud
  • Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot SAP Analytics Cloud

SAP Analytics Cloud

  • Demand forecastingnot Dataiku
  • Inventory optimizationnot Dataiku
  • Supply chain analyticsnot Dataiku
  • Predictive planningnot 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.

SAP Analytics Cloud

  • High implementation costs and complexity for large enterprises
  • Requires significant data governance and planning infrastructure

Pricing, plan by plan

Dataiku

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

SAP Analytics Cloud

On request
  • Standard$5000/month
    • Core analytics
    • 20 users
    • Standard support
  • Premium$10000/month
    • Advanced planning
    • 30 users
    • Priority support
  • Enterprise$20000/month
    • Full suite
    • Unlimited users
    • Dedicated support

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 SAP Analytics Cloud if

  • You need advanced analytics.
  • You work on Cloud.
  • You also want demand planning.
SAP Analytics Cloud review

Questions people ask

Is Dataiku or SAP Analytics Cloud better?
Neither clearly leads. Dataiku starts at Free and SAP Analytics Cloud at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or SAP Analytics Cloud?
Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and On request for SAP Analytics Cloud.
Does Dataiku or SAP Analytics Cloud run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. SAP Analytics Cloud runs on Cloud.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. SAP Analytics Cloud starts at On request.
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 SAP Analytics Cloud is typically brought in for.
What can Dataiku do that SAP Analytics Cloud cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. SAP Analytics Cloud covers Advanced analytics, Demand planning, Inventory optimization, Predictive modeling.

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.

SAP Analytics Cloud: What are the main modules in SAP Analytics Cloud?

SAP Analytics Cloud combines business intelligence (BI), enterprise planning, and predictive analytics in one solution for unified financial, supply chain, and operational planning.

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.

SAP Analytics Cloud: Does SAP Analytics Cloud support AI and machine learning?

Yes, SAP Analytics Cloud includes Joule, an AI assistant that helps automate forecasts at any planning level, uncover insights, and develop business plans.

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.

SAP Analytics Cloud: What data sources can I connect to SAP Analytics Cloud?

SAP Analytics Cloud supports native Snowflake connectivity, Azure SQL, and integration with SAP Datasphere for unified data management across multiple sources.

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.

SAP Analytics Cloud: What planning features does SAP Analytics Cloud offer?

SAP Analytics Cloud provides enterprise planning capabilities including budgeting, forecasting, and supply chain planning with real-time data and collaborative workflows.

Source
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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