RapidMiner Radoop

Eliminate the complexity of data science on Hadoop and Spark

Code Free Machine Learning for Hadoop & Spark

Build and run predictive models in Hadoop without having to code in Spark

  • Create predictive models using the RapidMiner Studio visual workflow designer
  • Expand beyond MLlib to tackle a broader set of use cases including time series and text analytics
  • Amazon EMR, Apache, Microsoft’s Azure HDInsight, HDP, Cloudera and more

Harness the Power of Hadoop Clusters

Run data prep and machine learning jobs directly inside Hadoop

  • RapidMiner SparkRM enables all operations and data process flows in RapidMiner Studio to run in-parallel inside Hadoop
  • Jobs are automatically translated into Spark and Hive
  • No additional software is required in the Hadoop cluster environment

Supports Hadoop Standards & Security

Maximize your investment in the Hadoop ecosystem

  • Re-use existing SparkR, PySpark, Pig, and HiveQL code
  • Reduce risk and enforce regulatory compliance with built-in Apache Sentry & Apache Ranger support
  • Deploy HDFS encryption to comply with data security policies

Related Resources

Analyst Report

Read this 2018 Gartner Research Report detailing the challanges organizations face when deploying machine learning models into production.

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Whitepaper

Read through this ebook to learn more about Real-Time Scoring use cases for high volume, low latency, and upsell opportunities.

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Whitepaper

Getting a machine learning project off the ground is hard. How do you build a solid project foundation from the very start? Download the whitepaper.

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