IBM SPSS Modeler Reviews

IBM SPSS Modeler's key attributes include user-friendly visual programming and drag-and-drop functionality, facilitating ease of use without coding. It offers robust statistical tools and automated data preparation, accelerating model development. Users appreciate the integration of machine learning algorithms and the ability to merge and analyze data efficiently. The modeler supports various techniques such as regression and neural networks, making it adaptable for different analytical needs. Its organized structure enhances data handling and management.

• "The customer loves it at first glance because it is so easy to handle, and you get a solution pretty soon."
• "I was familiar with using IBM SPSS Modeler separately in the private sector before that. It's a good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data."
• "Compared to other tools, the product works much easier to analyze data without coding."

IBM SPSS Modeler users noted its high cost, limited machine learning integration, and weak formula writing interface compared to Excel. They sought better integration with platforms like Qlik and Tableau, improved time series features, enhanced visualization, and faster performance. Other desired upgrades included support for additional programming languages and open-source tools, improved scalability, and easier deployment options. Users found the lack of real-time SQL extraction and limited model options problematic, and they suggested more comprehensive documentation and flexible licensing terms.

• "There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database."
• "The platform's cloud version needs improvements."
• "The product does not have a search function for tags."