We performed a comparison between IBM SPSS Statistics, KNIME, and RapidMiner based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."You can quickly build models because it does the work for you."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"SPSS is quite robust and quicker in terms of providing you the output."
"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."
"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 most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"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."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."
"Overall KNIME serves its purpose and does a good job."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"KNIME is easy to learn."
"I was able to apply basic algorithms through just dragging and dropping."
"The solution allows for sharing model designs and model operations with other data analysts."
"It is a stable solution...It is a scalable solution."
"It has allowed us to easily implement advanced analytics into various processes."
"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."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"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."
"RapidMiner for Windows is an excellent graphical tool for data science."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"The data science, collaboration, and IDN are very, very strong."
"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."
"This solution is not suitable for use with Big Data."
"It could provide even more in the way of automation as there are many opportunities."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"There is a learning curve; it's not very steep, but there is one."
"It could allow adding color to data models to make them easier to interpret."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
"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."
"KNIME could improve when it comes to large data markets."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."
"KNIME's documentation is not strong."
"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."
"Improve the online data services."
"I would like to see more integration capabilities."
"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."
"If they could include video tutorials, people would find that quite helpful."
"The price of this solution should be improved."
"It would be helpful to have some tutorials on communicating with Python."
"In the Mexican or Latin American market, it's kind of pricey."
