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Machine Learning & Data Science · head to head

RapidMiner vs Azure Machine Learning

R

RapidMiner

Machine Learning & Data Science

Data science platform for business teams

From
Free
Rated
-
Full reviewWebsite
Azure Machine Learning logo

Azure Machine Learning

Machine Learning & Data Science

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: RapidMiner rapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too; Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services
  • They diverge on capability: RapidMiner covers Visual workflows, Azure Machine Learning covers Automated ML.

Where they differ

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

Attributes where RapidMiner and Azure Machine Learning differ
AttributeRapidMinerAzure Machine Learning
Pricing modelfreemiumusage-based
PlatformsLinux, Mac, Windows, WebAzure Cloud
Founded20071975

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 RapidMiner

  • Visual workflows
  • AutoML
  • Data preparation
  • Model deployment
  • Text mining
  • Python
  • R
  • Spark

Only in Azure Machine Learning

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

Both cover

  • Web support

What people use each for

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

RapidMiner

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

Azure Machine Learning

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

Where each one falls short

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

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

Azure Machine Learning

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

Pricing, plan by plan

RapidMiner

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

Azure Machine Learning

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

Which should you pick?

Choose RapidMiner if

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

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

Questions people ask

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