We performed a comparison between IBM SPSS Modeler and KNIME based on real PeerSpot user reviews.
Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."
"It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."
"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."
"We have been able to do some predictive modeling with it"
"Compared to other tools, the product works much easier to analyze data without coding."
"The visual modeling capability is one of its attractive features."
"Stability is good."
"The supervised models are valuable. It is also very organized and easy to use."
"The solution is good for teaching, since there is no need to code."
"This open-source product can compete with category leaders in ELT software."
"It is very fast to develop solutions."
"We can deploy the solution in a cluster as well."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"It's a very powerful and simple tool to use."
"The forecasting could be a bit easier."
"I would like see more programming languages added, like MATLAB. That would be better."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"The time series should be improved."
"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."
"The platform's cloud version needs improvements."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"I've had some problems integrating KNIME with other solutions."
"Compared to the other data tools on the market, the user interface can be improved."
"From the point of view of the interface, they can do a little bit better."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"The license is quite expensive for us."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while KNIME is ranked 1st in Data Mining with 50 reviews. IBM SPSS Modeler is rated 8.0, while KNIME is rated 8.2. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". IBM SPSS Modeler is most compared with Microsoft Power BI, RapidMiner, IBM SPSS Statistics, Alteryx and SAS Visual Analytics, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Weka and Microsoft Azure Machine Learning Studio. See our IBM SPSS Modeler vs. KNIME report.
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KNIME. It free, open-source, and you can plug in Java, Python, R, and Matlab. The community is awesome.
I used IBM Modeler several years ago and found it to be effective, but expensive. Fortunately, it was for a commercially funded contract.
For KNIME I have only used it for experimental purposes and found it rather cumbersome but powerful. It is also more cost-effective.
I found RapidMiner more intuitive to learn. However, there is so much choice nowadays that it is difficult to be definitive. In my experience, it largely depended on the quality of the add-on extensions. Clearly, though, at least in universities, the cost is a significant factor.
I am not familiar with KNIME, but the main difference is KNIME is open-source and free.