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."Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."
"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."
"Automation is great and this product is very organized."
"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."
"It is a great product for running statistical analysis."
"It will scale up to anything we need."
"It's a very organized product. It's easy to use."
"It helped me in that I didn't need to write them by hand, and I could get a result in one or two minutes. That helped me a lot."
"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."
"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."
"We have found KNIME valuable when it comes to its visualization."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"We have been able to appreciate the considerable reduction in prototyping time."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."
"The time series should be improved."
"Dimension reduction should be classified separately."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"The product does not have a search function for tags."
"I can say the solution is outdated."
"The standard package (personal) is not supported for database connection."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"Though I can use KNIME in a 64-bit platform in the lab, it's missing some features. For example, from my laptop, I can use the image reader feature of KNIME. However, in the lab, the image reader node is missing."
"I've had some problems integrating KNIME with other solutions."
"If they had a more structured training model it would be very helpful."
"Compared to the other data tools on the market, the user interface can be improved."
"The predefined workflows could use a bit of improvement."
"The ability to handle large amounts of data and performance in processing need to be improved."
"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
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, IBM SPSS Statistics, RapidMiner, Alteryx and SAS Visual Analytics, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku Data Science Studio and Microsoft Azure Machine Learning Studio. See our IBM SPSS Modeler vs. KNIME report.
See our list of best Data Mining vendors and best Data Science Platforms vendors.
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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.