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."It offers very good visualization."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"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 features mainly include factor analysis, correlation analysis, and geographic analysis."
"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."
"It has the ability to easily change any variable in our research."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"It's a huge tool with machine learning features as well."
"I was able to apply basic algorithms through just dragging and dropping."
"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."
"There are a lot of connectors available in KNIME."
"This open-source product can compete with category leaders in ELT software."
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"Better documentation on how to use macros."
"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."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"The reports could be better."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"The statistics should be more self-explanatory with detailed automated reports."
"The solution needs more planning tools and capabilities."
"The documentation is lacking and it could be better."
"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 license is quite expensive for us."
"One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."
"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."
"The ability to handle large amounts of data and performance in processing need to be improved."
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 and IBM SPSS Modeler, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Weka and Dataiku Data Science Studio. See our IBM SPSS Statistics vs. KNIME report.
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