RapidMiner Studio
Comprehensive data science platform with visual workflow design and full automation
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
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
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
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
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
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 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
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
Related Resources. Take a Look!
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.
Get a complimentary copy of the 2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.
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.