We performed a comparison between IBM SPSS Modeler 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."Some basic form of feature engineering for classification models. This really quickens the model development process."
"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."
"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."
"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."
"It will scale up to anything we need."
"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."
"Automated modelling, classification, or clustering are very useful."
"It is pretty scalable."
"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."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"RapidMiner for Windows is an excellent graphical tool for data science."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"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."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"I can say the solution is outdated."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"It would be beneficial if the tool would include more well-known machine learning algorithms."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"I would like see more programming languages added, like MATLAB. That would be better."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"It would be helpful to have some tutorials on communicating with Python."
"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."
"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."
"In the Mexican or Latin American market, it's kind of pricey."
"RapidMiner can improve deep learning by enhancing the features."
"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."
"The price of this solution should be improved."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while RapidMiner is ranked 6th in Data Science Platforms with 20 reviews. IBM SPSS Modeler is rated 8.0, while RapidMiner is rated 8.6. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". IBM SPSS Modeler is most compared with Microsoft Power BI, KNIME, IBM SPSS Statistics, Alteryx and SAS Visual Analytics, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and DataRobot. See our IBM SPSS Modeler vs. RapidMiner report.
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