We performed a comparison between IBM SPSS Statistics and SAS Enterprise Miner 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.
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"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."
"You can quickly build models because it does the work for you."
"SPSS is quite robust and quicker in terms of providing you the output."
"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 are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"The technical support is very good."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"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."
"There is a learning curve; it's not very steep, but there is one."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"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."
"The technical support should be improved."
"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."
"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."
"The solution is much more complex than other options."
"The initial setup is challenging if doing it for the first time."
IBM SPSS Statistics is ranked 2nd in Data Mining with 10 reviews while SAS Enterprise Miner is ranked 8th in Data Mining with 2 reviews. IBM SPSS Statistics is rated 8.6, while SAS Enterprise Miner is rated 6.6. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good technical support but too complex and not open-source". IBM SPSS Statistics is most compared with IBM SPSS Modeler, Alteryx, Microsoft Azure Machine Learning Studio, Weka and TIBCO Statistica, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, RapidMiner and TIBCO Data Science. See our IBM SPSS Statistics vs. SAS Enterprise Miner 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.
