RapidMiner Studio is a powerful visual workflow designer for rapidly building predictive analytic workflows. This all-in-one tool features hundreds of data preparation and machine learning algorithms to support all your data science projects.

Maximize Data Science Productivity

Visual data science workflow designer accelerates prototyping
& validation of models


  • Code-optional with guided analytics
  • Predefined connections, built-in templates and repeatable workflows

Rich library of algorithms and functions to build the strongest  possible model for any use case


  • 1500+ built-in operations (predefined functions)
  • Robust data exploration, prep, modeling & validation functionality

Open source innovation keeps pace with changing business needs


  • Well-accepted open source technology and languages
  • Robust Marketplace for easy integration of R, Python & so much more…

Streamlines Transformation, Development & Validatation

Connect to any data source, any format, at any scale

Quickly discover patterns or data quality issues

Create the optimal data set for predictive analysis

Expertly cleanse data for advanced algorithms

Efficiently build and delivers better models faster

Confidently & accurately estimate model performance

Data Access

Connect to any data source, any format, at any scale


  • More data connectors than any other visual design platform.
  • Includes over 60 file types and formats for structured and unstructured data.

Access, load and extract information from unstructured data


  • 80+ functions for text, web and multimedia mining & processing.
  • Supports plain texts, HTML, PDF, RTF, and many more.

View All Data Access Features

  • Decision Tree

Data Exploration

Robust statistical overviews to quickly explore and understand your data


  • Graphically displays attribute name & type.
  • Quickly identifies missing values.

A powerful chart engine offers more than 30 different visualization options


  • Bubble charts & 3-D scatter plots.
  • Network & tree visualizations, and many more.

View All Data Exploration Features

Data Prep

Offers a host of data quality, integration, and transformation tools


  • Multiple options to aggregate, filter and sort or join data.
  • Feature engineering operators for feature selection, creation & extraction.

Determine best influence factors or generate new factors


  • Advanced attribute weighting capabilities.
  • Options for new attribute generation.

View All Data Prep Features

  • Blending
  • data cleanse

Data Cleansing

Provides a variety of advanced approaches for data cleansing


  • Identification and removal of duplicate.
  • Anomaly & outlier detection & removal.
  • Normalization & standardization.
  • Weighting schemes measuring the influence of attributes.

Offers sophisticated dimensionality reduction technique


  • Self Organizing Maps (SOM).

View All Data Prep Features


Breadth of machine learning functions


  • Classification, regression and clustering techniques.
  • Association mining, frequent item set & similarity computation.
  • Ensemble & hierarchical models.

More than 100 additional modeling operators


  • Seamlessly integrate R, Python and custom scripts.
  • Process Control functions.
  • Optimization loops & branches.

View All Modeling Features

  • decision tree
  • model validation


Only visual workflow designer with correct model validation techniques


  • Preprocessing models.
  • Cross validation & split validation.
  • Visual evaluation techniques.

Trustworthy performance calculations


  • Accuracy, Precision, Recall, RMSE, AUC and many more.
  • Calculating significance tests.

View All Validation Features

Cloud Execution

Extended computation – on demand


  • Submit multiple jobs parallel
  • Elastic-compute environment

Predictive analytics anywhere


  • Provides a central, cloud-based repository
  • Supports agility

  • cloud execution

RapidMiner Studio Overview