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."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 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."
"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"It has the ability to easily change any variable in our research."
"Most of the product features are good but I particularly like the linear regression analysis."
"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"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."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"The solution allows for sharing model designs and model operations with other data analysts."
"It is a stable solution...It is a scalable solution."
"From a user-friendliness perspective, it's a great tool."
"This solution is easy to use and it can be used to create any kind of model."
"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"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 reports could be better."
"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."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"It could allow adding color to data models to make them easier to interpret."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"The ability to handle large amounts of data and performance in processing need to be improved."
"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."
"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."
"There should be better documentation and the steps should be easier."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"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."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"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."
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.
See our list of best Data Mining vendors and best Data Science Platforms vendors.
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