We performed a comparison between IBM SPSS Statistics 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."in terms of the simplicity, I think the SPSS basic can handle it."
"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."
"The most valuable feature is the user interface because you don't need to write code."
"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"The most valuable feature is its robust statistical analysis capabilities."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"It is a modeling tool with helpful automation."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"This open-source product can compete with category leaders in ELT software."
"It has allowed us to easily implement advanced analytics into various processes."
"I think the visualization and charting should be changed and made easier and more effective."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"There is a learning curve; it's not very steep, but there is one."
"The reports could be better."
"This solution is not suitable for use with Big Data."
"The design of the experience can be improved."
"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."
"The license is quite expensive for us."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"KNIME is not good at visualization."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"The pricing needs improvement."
"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews while KNIME is ranked 1st in Data Mining with 50 reviews. IBM SPSS Statistics is rated 8.0, while KNIME is rated 8.2. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and MathWorks Matlab, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Weka. See our IBM SPSS Statistics vs. KNIME report.
See our list of best Data Mining vendors and best Data Science Platforms vendors.
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