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."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."
"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."
"It has the ability to easily change any variable in our research."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."
"It offers very good visualization."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"From a user-friendliness perspective, it's a great tool."
"The most useful features are the readily available extensions that speed up the work."
"The solution is very easy to use"
"I've never had any problems with stability."
"This solution is easy to use and especially good at data preparation and wrapping."
"We have been able to appreciate the considerable reduction in prototyping time."
"This open-source product can compete with category leaders in ELT software."
"It's a very powerful and simple tool to use."
"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 solution needs more planning tools and capabilities."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"There is a learning curve; it's not very steep, but there is one."
"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."
"The reports could be better."
"Needs more statistical modelling functions."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."
"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."
"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"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."
"If they had a more structured training model it would be very helpful."
IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews while KNIME is ranked 1st in Data Mining with 51 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 IBM Watson Studio, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Weka. See our IBM SPSS Statistics vs. KNIME report.
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