The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that.
IBM SPSS Modeler offers ease of use with proprietary machine learning algorithms, a point-and-click GUI, and visual modeling capabilities, making it scalable for technical and non-technical users. However, it lacks popular algorithms and integration with tools like Qlik and Tableau. Users report stability issues and long processing times when handling large datasets, needing improvements in regression and time series analysis automation. Non-integration with programming languages like MATLAB limits its flexibility.