We’ve just released the latest version of KNIME Analytics Platform and here’s a quick summary of what’s new.

There are enhancements to our deep learning integrations, added support for H2O Sparkling Water, and many utility nodes including a multi column dictionary tagger and a numeric outlier node, a powerful multi column expression node, nodes to handle your Git repositories, and many more. Along with this, many UI improvements have been made - including connecting or unconnecting nodes with keyboard shortcuts, zooming, and easy node replacement.

From March 5 - 9, 2018 we held our 11th Annual KNIME Spring Summit in Berlin, Germany where KNIME users and enthusiasts got together for a week of courses, presentations, and workshops, as well as the chance to network.

We welcomed over 300 people through the doors this year. Alongside the regular Summit attendees, it was wonderful to see so many new faces. A big thank you to everyone for being there!

Zurich, February 26, 2018 – For the fifth year in a row, KNIME^® , the open source platform for data driven innovation, has been placed in the leader category in Gartner’s 2018 Magic Quadrant for Data Science and Machine Learning Platforms. The placement recognizes ability to execute and completeness of vision.

Something cool for the winter

The latest version of KNIME Analytics Platform has just been released and, just like in previous years, there is something for everyone.

Something Sizzling for Summer:
KNIME Analytics Platform 3.4 Available Now  

There is something for everyone in the newest KNIME Analytics Platform: many more interactive visualizations, cloud connectivity, and scalable machine learning integrations via H20, plus support for both sound and voice. Another highlight are the productivity extensions, which are now also open source and help you use, compare, and reuse metanodes within KNIME workflows. There are also updates to KNIME Server and KNIME Big Data Extensions, among them support for Apache Spark 2.0.