RapidMiner Radoop eliminates the complexity of data prep and machine learning on Hadoop and Spark.

Leverage the Value of Hadoop

Visual process facilitates analysis upon the full breadth and variety of stored Big Data


  • SparkRM enables any operator or process in RapidMiner Studio to run in-parallel inside Hadoop environment using Apache Spark as the execution framework
  • Seamlessly combines, transforms and trains models on structured and unstructured data
  • Easily leverages SparkR, PySpark, Pig and HiveQ scripts

Built-in intelligence translates workflows into Hadoop


  • Compiles & executes in Hive, Spark MLLib, H2O
  • Pushes analytic instructions into Hadoop for computation

Complies with Hadoop security standards


  • Supports Hadoop authentication and data access authorization
  • Incorporates encryption for data security

We Speak Hadoop So You Don’t Have To!

Simplified Anayltics

Reduces Hadoop Complexity

Accelerated Time-to-Value

Covers Complete Analytics Lifecycle

Broad Data Access

Eliminate Connectivity Struggles

Integrated Security

Ensure Security Compliance

Optimized for Hadoop

Leverages Hadoops Distributed Power

Scalable Processing

Process In-Hadoop and In-Memory

RapidMiner Radoop Overview