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Software · head to head

RapidMiner vs Apache Spark MLlib

R

RapidMiner

Software

Data science platform for business teams

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Software

Scalable machine learning on Apache Spark

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; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
  • They diverge on capability: RapidMiner covers Visual workflows, Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which RapidMiner and Apache Spark MLlib actually diverge.

Attributes where RapidMiner and Apache Spark MLlib differ
AttributeRapidMinerApache Spark MLlib
Pricing modelfreemiumopen-source
PlatformsLinux, Mac, Windows, WebLinux, macOS, Windows
Founded20071999

Identical on both: starting price (Free), free tier (Yes), 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 RapidMiner

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

Only in Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Kafka
  • Databricks

Both cover

  • Hadoop
  • Linux support
  • Mac support
  • Windows 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 Apache Spark MLlib
  • Data preparation and cleansing before modellingnot Apache Spark MLlib
  • Deploying and scoring predictive models in an enterprise settingnot Apache Spark MLlib

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot RapidMiner
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot RapidMiner
  • Clustering with K-means and Gaussian Mixture Modelsnot 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

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

Pricing, plan by plan

RapidMiner

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

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

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 Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.
Apache Spark MLlib review

Questions people ask

Is RapidMiner or Apache Spark MLlib better?
Neither clearly leads. RapidMiner starts at Free and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, RapidMiner or Apache Spark MLlib?
RapidMiner starts at Free and Apache Spark MLlib at Free.
Does RapidMiner or Apache Spark MLlib run on more platforms?
RapidMiner runs on Linux, Mac, Windows, Web. Apache Spark MLlib runs on Linux, macOS, Windows.
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 Apache Spark MLlib is typically brought in for.
What can RapidMiner do that Apache Spark MLlib cannot?
RapidMiner covers Visual workflows, AutoML, Data preparation, Model deployment. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering. Both handle Hadoop, Linux support, Mac support, Windows support.
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