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New KNIME Update Adds Visual Tool building and Model Integrations

Data Analytics

Business Honor - KNIME Adds Visual Tool Builder & Model Integrations

Business Honor
09 July, 2025

KNIME 5.5 simplifies workflow building, adds tool creation features, integrations and user-friendly updates.

With the recent release of version 5.5 of its Analytics Platform, KNIME has made it simpler for users to create and oversee complex information pipelines. In order to help teams operate more productively and with less technical bother, this update focuses on improving the way users can develop and utilize workflows based on tools. The users can now more simply link and reuse their current processes as tools. Additionally, they can use KNIME's famous visual interface to design new tools from start without the need for coding. Large data tables and other data are passed back and forth across workflows more easily because of the additional nodes.

The new "Message" data type is one of the main features. By dividing various roles and content components, it facilitates the definite organization of conversation data. Working with structured messages is made easy by new nodes like Message Creator and Message Part Extractor, which again eliminate the need for bespoke code. Additionally, KNIME 5.5 has improved support for selecting and connecting to a large number of models. These days, users can work together with platforms like IBM's Watsonx.ai, Google's Gemini through Vertex AI or AI Studio, and Claude (Anthropic).

The platform is now much more combined with business environments thanks to a new combination with Microsoft Fabric, a clearer user interface, and improved date and time data management. KNIME is providing free online courses to assist customers in getting started, covering topics such as utilizing generative technologies in data projects and creating smarter tools and workflows. All things considered, both novice and expert users can more easily create intelligent, adaptable data workflows without delving into difficult code because of the KNIME Analytics Platform 5.5.