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Machine Learning · head to head

Dataiku vs Oracle 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
Oracle Analytics Cloud logo

Oracle Analytics Cloud

Business Intelligence

Complete analytics in the cloud

From
$16/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.; Oracle Analytics Cloud no dedicated mobile application for on-the-go access
  • They diverge on capability: Dataiku covers Visual Flow, Oracle Analytics Cloud covers Self-service Analytics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Dataiku and Oracle Analytics Cloud differ
AttributeDataikuOracle Analytics Cloud
Starting priceFree$16/month
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsLinux, Mac, Windows, WebWeb
CategoryMachine LearningBusiness Intelligence
Founded20132016

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 Oracle Analytics Cloud

  • Self-service Analytics
  • Augmented Analytics
  • Data Preparation
  • Natural Language
  • Mobile
  • Oracle Database
  • Oracle ERP
  • Salesforce

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

Oracle Analytics Cloud

  • 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

  • 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.

Oracle Analytics Cloud

  • No dedicated mobile application for on-the-go access
  • Limited documentation for collecting data from on-premise services
  • Performance issues and occasional software glitches requiring re-login
  • Expensive for small businesses and organizations with limited budgets

Pricing, plan by plan

Dataiku

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

Oracle Analytics Cloud

$16/month
  • Professional$16/month
    • Self-service Analytics
    • Reporting
    • Dashboards
  • Enterprise$80/month
    • Advanced Analytics
    • ML Models
    • Premium 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 Oracle Analytics Cloud if

  • You need self-service analytics.
  • You also want augmented analytics.
Oracle Analytics Cloud review

Questions people ask

Is Dataiku or Oracle Analytics Cloud better?
Neither clearly leads. Dataiku starts at Free and Oracle Analytics Cloud at $16/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Oracle Analytics Cloud?
Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and $16/month for Oracle Analytics Cloud.
Does Dataiku or Oracle Analytics Cloud run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Oracle Analytics Cloud runs on Web.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. Oracle Analytics Cloud starts at $16/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 Oracle Analytics Cloud is typically brought in for.
What can Dataiku do that Oracle Analytics Cloud cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Oracle Analytics Cloud covers Self-service Analytics, Augmented Analytics, Data Preparation, Natural Language.

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.

Oracle Analytics Cloud: What data sources does Oracle Analytics Cloud support?

Oracle Analytics Cloud connects to relational databases, cloud applications, and big data platforms. It integrates with Salesforce, Snowflake, Azure Synapse Analytics, Google BigQuery, Amazon Redshift, and the Oracle ecosystem.

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.

Oracle Analytics Cloud: What are the pricing tiers for Oracle Analytics Cloud?

Oracle Analytics Cloud offers a Professional plan at $16/user/month and an Enterprise plan at $80/user/month. BYOL pricing is $0.3226/OCPU/hour base plus $1.0753/hour (Professional) or $2.1506/hour (Enterprise).

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.

Oracle Analytics Cloud: Does Oracle Analytics Cloud have a mobile app?

No, Oracle Analytics Cloud lacks a dedicated mobile application, which is considered a significant limitation by users who need mobile access to dashboards and reports.

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.

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