We performed a comparison between IBM SPSS Statistics and RapidMiner based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"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."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"in terms of the simplicity, I think the SPSS basic can handle it."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"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 data science, collaboration, and IDN are very, very strong."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."
"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."
"RapidMiner is very easy to use."
"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The solution is stable."
"The statistics should be more self-explanatory with detailed automated reports."
"This solution is not suitable for use with Big Data."
"The solution needs to improve forecasting using time series analysis."
"There is a learning curve; it's not very steep, but there is one."
"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."
"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."
"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."
"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."
"The price of this solution should be improved."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"RapidMiner can improve deep learning by enhancing the features."
"I would like to see more integration capabilities."
"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."
"It would be helpful to have some tutorials on communicating with Python."
"Improve the online data services."
"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."
IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews while RapidMiner is ranked 6th in Data Science Platforms with 20 reviews. IBM SPSS Statistics is rated 8.0, while RapidMiner is rated 8.6. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, Weka and IBM SPSS Modeler, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Microsoft Azure Machine Learning Studio. See our IBM SPSS Statistics vs. RapidMiner report.
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