Take a Virtual Tour of the Latest KNIME Software Release

Combine the best of visual programming and scripting with two major updates to the Python Integration. Developers writing custom KNIME nodes can choose to do so completely in Python and easily share these solutions with the team like any other KNIME extension. Better yet, Python environment is built-in. No need to install extra software.

• Learn more about the bundled Python environment feature
• Learn more about the pure-Python nodes

Users can now build Machine Learning models in H2O.ai using Snowflake data in KNIME and push them to Snowflake for execution–so data doesn’t have to leave Snowflake. Users with or without coding experience can get insights on Snowflake data using KNIME’s intuitive low-code/no-code interface.

• Learn more about the Snowflake integration
• Read a walkthrough of a churn prediction example, using KNIME & Snowflake

See a preview of a new-and-improved UX. KNIME newbies can get started building workflows much more quickly with the new and improved user interface. Experienced KNIME users can focus more deeply on data science. Much of the new design is based on feedback from you, the community. 

• Read more about the updated UX preview 
• Learn about additional visualization capabilities

Database enhancements and Azure services extend connectivity. Advanced ETL operations can be handled elegantly thanks to the new improvements to the Column Expression node, which now allows access to previous/subsequent rows, crucial for “between rows” calculations. And updates to the XGBoost extension improve the insights you get on features strongly affecting prediction outcomes.

Find details on these capabilities and more on our What’s New page.