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Software · head to head

Dataiku vs RapidMiner

Dataiku logo

Dataiku

Software

Everyday AI, Extraordinary People

From
Free
Rated
-
R

RapidMiner

Software

Data science platform for business teams

From
Free
Rated
-

The short version

  • Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; RapidMiner rapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
  • They diverge on capability: Dataiku covers Visual data prep, RapidMiner covers Visual workflows.

Where they differ

Only the attributes on which Dataiku and RapidMiner actually diverge.

Attributes where Dataiku and RapidMiner differ
AttributeDataikuRapidMiner
Founded20132007

Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), platforms (Linux, Mac, Windows, Web), 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
  • MLOps
  • Collaboration
  • Governence
  • Snowflake
  • Databricks

Only in RapidMiner

  • Visual workflows
  • Data preparation
  • Model deployment
  • Text mining
  • Hadoop
  • Cloud platforms

Both cover

  • AutoML
  • Python
  • R
  • Spark
  • Linux support
  • Mac support
  • Windows support
  • 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 RapidMiner
  • Giving analysts and data scientists a shared visual and code environmentnot RapidMiner

RapidMiner

  • Visual drag and drop machine learning model buildingnot Dataiku
  • Data preparation and cleansing before modellingnot Dataiku
  • Deploying and scoring predictive models in an enterprise settingnot 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

RapidMiner

  • RapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
  • Pricing is by quote only: the product page publishes no rate, no licensing unit and no minimum, offering only a Contact us button
  • The product is now one component of a six product portfolio alongside Graph Studio, SLC, Monarch, Panopticon and Knowledge Studio

Pricing, plan by plan

Dataiku

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

RapidMiner

Free
  • FreeFree
    • 10,000 data rows
    • 1 logical processor
  • ProfessionalFree
    • Unlimited data
    • Full features
    • Support

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 mlops.

Choose RapidMiner if

  • You need visual workflows.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want data preparation.

Questions people ask

Is Dataiku or RapidMiner better?
Neither clearly leads. Dataiku starts at Free and RapidMiner at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or RapidMiner?
Dataiku starts at Free and RapidMiner at Free.
Does Dataiku or RapidMiner run on more platforms?
Both run on Linux, Mac, Windows, Web, so platform support will not decide this one for you.
Can I use Dataiku for free?
Both have a free tier, so you can try either at no cost before committing.
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 RapidMiner is typically brought in for.
What can Dataiku do that RapidMiner cannot?
Dataiku covers Visual data prep, MLOps, Collaboration, Governence. RapidMiner covers Visual workflows, Data preparation, Model deployment, Text mining. Both handle AutoML, Python, R, Spark.

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