We performed a comparison between IBM SPSS Modeler and IBM SPSS Statistics 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."It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."
"It is pretty scalable."
"The quality is very good."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."
"Automation is great and this product is very organized."
"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."
"Compared to other tools, the product works much easier to analyze data without coding."
"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."
"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."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"Most of the product features are good but I particularly like the linear regression analysis."
"SPSS is quite robust and quicker in terms of providing you the output."
"You can quickly build models because it does the work for you."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."
"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."
"Initial setup of the software was complex, because of our own problems within the government."
"It is not integrated with Qlik, Tableau, and Power BI."
"Dimension reduction should be classified separately."
"Customer support is hard to contact."
"The standard package (personal) is not supported for database connection."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"Needs more statistical modelling functions."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"The reports could be better."
"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."
"Better documentation on how to use macros."
"It could provide even more in the way of automation as there are many opportunities."
IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews. IBM SPSS Modeler is rated 8.0, while IBM SPSS Statistics is rated 8.0. 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 IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, Alteryx and SAS Visual Analytics, whereas IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, Weka and Google Cloud Datalab. See our IBM SPSS Modeler vs. IBM SPSS Statistics report.
See our list of best Data Mining vendors and best Data Science Platforms vendors.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
