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."SPSS is quite robust and quicker in terms of providing you the output."
"The most valuable feature is its robust statistical analysis capabilities."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"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."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"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."
"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The solution is stable."
"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."
"The data science, collaboration, and IDN are very, very strong."
"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."
"RapidMiner is very easy to use."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"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."
"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."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"The technical support should be improved."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"The price of this solution should be improved."
"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"I would like to see more integration capabilities."
"RapidMiner can improve deep learning by enhancing the features."
IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews while RapidMiner is ranked 10th in Data Science Platforms with 19 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 "Easy to use, robust, and simple to deploy". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and Weka, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and Microsoft Azure Machine Learning Studio. See our IBM SPSS Statistics vs. RapidMiner report.
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