What's new in Q2 2026
- Python SDK extension support
- Extension Management capability
- Improved Data & Stats Performance
- Revamped Prompt Studio experience
Python SDK extensions
AI Cloud now support Python SDK extensions making it easier to bring custom Python based functionalities into AI Cloud Workflow Studio workflows. Teams can build Rapidminer extensions using Python and use them directly in Workflow Studio to create richer, more advanced use cases.
- Build extensions in Python: Create Rapidminer extensions using Python SDK and make them available in AI Cloud.
- No special cloud build required: The same Python extensions built for AI Studio can also be used in Rapidminer AI Cloud.
- Better execution and resource management: Python SDK extensions are supported with dedicated resources, improving execution handling and ensuring more efficient resource management in AI Cloud.
Extension Management
Introducing Extension Management, a new capability that gives tenant administrators greater control over custom-developed extensions used within their environment. This helps organizations better manage, govern extensions.
- Centralized management for custom extensions: Tenant admins can now manage custom-developed extensions directly within their AI Cloud.
- Support for Java and Python SDK extensions: Extension Management supports custom extensions developed using both Java and Python SDK.
- Improved governance and oversight: Organizations can better control which custom capabilities are available in their AI Cloud environment, supporting stronger governance of tenant-specific functionality.
- Visibility into extension operators: Admins get a detailed view of the operators included in each extension, making it easier to understand what functionality an extension provides.
Improved Data & Stats Performance
Data profiling is now faster and more efficient, delivering quicker insights while reducing processing overhead, especially for larger datasets.
- Faster performance: Improved processing for statistics calculations, particularly on large datasets.
- More efficient data handling: Retrieve only the statistics you need, reducing unnecessary computation and data transfer.
- Greater flexibility: Customize the generated statistics based on your analysis requirements.
- Scalable profiling: Better performance and responsiveness when working with complex or high-volume data.
Redesigned Prompt Studio for a simpler and more reliable prompt development experience
Prompt Studio has been redesigned to provide a clearer, more intuitive workflow for creating, testing, and managing prompts. The updated experience simplifies prompt authoring, improves prompt lifecycle management, and makes it easier to reuse prompts across AI workflows.
- Clear prompt lifecycle: Distinguish between editable drafts and production-ready prompt versions for more reliable use in workflows.
- Simplified prompt authoring: A streamlined editing experience with standardized system and user prompt sections, removing unnecessary complexity.
- Improved input management: Clearly separate context datasets from test cases, making prompt development and evaluation more intuitive.
- Enhanced testing and iteration: Compare prompt runs, review metrics, and refine prompts more efficiently before saving them for reuse.
- Better workflow integration: Save prompts as reusable project assets and easily incorporate them into AI workflows.
