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RapidMiner Studio

Comprehensive data science platform with visual
workflow design and full automation.

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Visual Workflow Designer

Increase productivity across the entire data science team, from analysts to experts

  • Speed up and automate the creation of predictive models in a drag + drop visual interface
  • Rich library of 1,500+ algorithms and functions ensures the best model for any use case
  • Pre-built templates for common use cases including customer churn, predictive maintenance, fraud detection, and many more
  • “Wisdom of Crowds” provides proactive recommendations at every step to help beginners
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Connect to Any Data Source

Work with all of your data, no matter where it lives

  • Instantly create point + click connections to databases, enterprise data warehouses, data lakes, cloud storages, business applications and social media
  • Easily re-use connections any time and easily share them with anyone who needs access
  • Connect to new sources with extensions from the RapidMiner Marketplace

Automated In-Database Processing

Run data prep and ETL inside databases to keep your data optimized for advanced analytics

  • Query and retrieve data without writing complex SQL
  • Harness the power of highly scalable database clusters
  • Supports MySQL, PostgreSQL, and Google BigQuery
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Data Visualization & Exploration

Evaluate data health, completeness, and quality

  • Understand patterns, trends, and distributions with scatter plots, histograms, line charts, parallel coordinates, box plots, and more
  • Quickly find and fix common data quality problems including missing values and outliers
  • Explore data using robust statistical overviews and over 30 interactive visualizations

Data Prep & Blending

Eliminate the hassle of preparing data for predictive modeling

  • RapidMiner Turbo Prep offers a fully interactive point + click data prep experience
  • Extract, join, filter, and group data across any number of sources
  • Create repeatable data prep and ETL processes that can be scheduled and shared
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RapidMiner Auto Model
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Visual & Automated Machine Learning

Quickly create impactful machine learning models without writing code

  • RapidMiner Auto Model creates models in 5 clicks using automated machine learning
  • Choose from hundreds of supervised and unsupervised machine learning algorithms
  • Implement basic and advanced ML techniques including regression, clustering, time-series, text analytics, and deep learning
  • Build the model to be sensitive to constraints like costs to optimize the predictions for your desired business impact
  • Use both automated and manual feature engineering to optimize model accuracy

Model Validation

Understand the true performance of a model before deploying to production

  • Eliminate overfitting through a unique approach that prevents model training pre-processing data from leaking into the application of the model
  • Add proven techniques, like cross validation, to a model with just a single mouse click
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Explainable Models Not Black Boxes

Create visual data science workflows that are easy to explain and easy to understand

  • Each step in the data prep, modeling, and validation process is documented for complete transparency
  • Visuals are easy to explain to others in the organization to gain buy-in for deployment
  • Supports the Local Interpretable Model-Agnostic Explanations (LIME) framework

Get More From R & Python Code

Scalable code deployment and collaboration between coders and non-coders

  • Deploy code-based models and code-containing models into a scalable platform
  • Eliminate duplicate work and ensure others re-use your work by uploading your code snippets into the RapidMiner repository for use in a simplified visual workflow designer
  • Make use of the vibrant Python ecosystem by building on top of specialized and cutting-edge libraries and making it available for the rest of your team using RapidMiner
  • Leverage data prep and ETL pipelines others have produced
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Flexible Scoring & Model Operations

Turn predictive insights into business impact

  • Quickly deploy scored data to spreadsheets and data visualization tools or turn models into production web services with RapidMiner AI Hub (formerly RapidMiner Server)
  • RapidMiner Model Ops delivers an easy way for less advanced users to put models into production and properly manage them
  • Integrate with enterprise scheduling tools
  • Add RapidMiner Real-Time Scoring for demanding high transaction / low latency use cases

Automation & Process Control

Build sophisticated visual workflows and automate important tasks

  • Use process control operators to create workflows that repeat and loop over tasks, branch flows and access system resources
  • Supports a variety of scripting languages for custom integrations and automatons
  • Schedule processes
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Open & Extensible

Integrate with existing applications and code

  • Use R and Python code and libraries to extend RapidMiner
  • Integrate RapidMiner with Python through the RapidMiner Python library on Github
  • Download new functionality provided by RapidMiner, our partners, and community through the RapidMiner Marketplace
  • Add new capabilities to RapidMiner through its flexible extension mechanism
  • RapidMiner Studio open core is available under the AGPL license

Learn more about RapidMiner Studio

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RapidMiner Platform Brochure

Read our platform brochure to learn more about how RapidMiner unifies the entire data science lifecycle from data prep, to machine learning and model operations.

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