Users can securely create and share repository-based connections while keeping credentials in a private Vault.

This version focused on bridging the gap between visual "drag-and-drop" modeling and professional coding environments.

Enhanced collaboration with coder data scientists by allowing users to augment RapidMiner toolsets with Python scripts directly in the workflow.

The "Turbo Prep" view was updated with new visualization charts, improving the data cleaning and transformation experience. How to Download and Install

While the brand has shifted to , you can still access legacy downloads through official channels:

Accelerated automated machine learning by offloading model calculations to RapidMiner Server , allowing for parallel processing of multiple algorithms.

Released in , version 9.3.1 introduced critical enhancements for team collaboration and model scaling, making it a pivotal update in the software's history. Key Features of RapidMiner Studio 9.3.1