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Machine Learning & Data Science · head to head

Azure Machine Learning vs Dataiku

Azure Machine Learning logo

Azure Machine Learning

Machine Learning & Data Science

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite
Dataiku logo

Dataiku

Machine Learning & Data Science

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
  • They diverge on capability: Azure Machine Learning covers Automated ML, Dataiku covers Visual data prep.

Where they differ

Only the attributes on which Azure Machine Learning and Dataiku actually diverge.

Attributes where Azure Machine Learning and Dataiku differ
AttributeAzure Machine LearningDataiku
Pricing modelusage-basedfreemium
PlatformsAzure CloudLinux, Mac, Windows, Web
Founded19752013

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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 Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • Model registry
  • Azure Blob Storage
  • Azure DevOps
  • Power BI
  • Synapse Analytics

Only in Dataiku

  • Visual data prep
  • AutoML
  • Collaboration
  • Governence
  • Python
  • R
  • Spark
  • Snowflake

Both cover

  • MLOps
  • Web support

What people use each for

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

Azure Machine Learning

  • Machine learningnot Dataiku
  • Data analysisnot Dataiku
  • Model trainingnot Dataiku
  • Predictive analyticsnot Dataiku

Dataiku

  • Building and deploying data science and machine learning pipelinesnot Azure Machine Learning
  • Giving analysts and data scientists a shared visual and code environmentnot Azure Machine Learning

Where each one falls short

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

Azure Machine Learning

  • Requires knowledge of Azure ecosystem and integration with other Azure services
  • Compute resources for training and inference generate separate charges

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

Pricing, plan by plan

Azure Machine Learning

Free
  • Free TierFree
    • Limited compute
    • Basic features
  • Pay-as-you-go$0.05/hour
    • Full platform
    • All compute options
    • Enterprise features

Dataiku

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

Which should you pick?

Choose Azure Machine Learning if

  • You need automated ml.
  • You want to start without paying.
  • You work on Azure Cloud.
  • You also want designer (drag-and-drop).
Azure Machine Learning review

Choose Dataiku if

  • You need visual data prep.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want automl.
Dataiku review

Questions people ask

Is Azure Machine Learning or Dataiku better?
Neither clearly leads. Azure Machine Learning starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Machine Learning or Dataiku?
Azure Machine Learning starts at Free and Dataiku at Free.
Does Azure Machine Learning or Dataiku run on more platforms?
Azure Machine Learning runs on Azure Cloud. Dataiku runs on Linux, Mac, Windows, Web.
Can I use Azure Machine Learning for free?
Both have a free tier, so you can try either at no cost before committing.
What is Azure Machine Learning best used for?
Azure Machine Learning is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Dataiku is typically brought in for.
What can Azure Machine Learning do that Dataiku cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, Model registry. Dataiku covers Visual data prep, AutoML, Collaboration, Governence. Both handle MLOps, Web support.

Answered from the vendors’ own pages

Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?

No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.

Source
Azure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?

Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.

Source
Azure Machine Learning: Does Azure ML support language model fine-tuning?

Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.

Source
Azure Machine Learning: What MLOps features are included?

Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.

Source
Azure Machine Learning: Can I access foundation models from multiple vendors?

Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.

Source
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Related pages

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