We performed a comparison between IBM SPSS Statistics and Oracle Advanced Analytics 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 offers very good visualization."
"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."
"The most valuable feature is the user interface because you don't need to write code."
"You can quickly build models because it does the work for you."
"It is a modeling tool with helpful automation."
"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"SPSS is quite robust and quicker in terms of providing you the output."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."
"Ability to pull together multiple sources of information."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"The technical support should be improved."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"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."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"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 reports could be better."
"There are some transactions we have not been able to find through the dashboard."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"One area for product improvement is the user experience, particularly when navigating through screens."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
Earn 20 points
IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews while Oracle Advanced Analytics is ranked 7th in Data Mining with 9 reviews. IBM SPSS Statistics is rated 8.0, while Oracle Advanced Analytics is rated 8.2. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, Weka and Google Cloud Datalab, whereas Oracle Advanced Analytics is most compared with Weka. See our IBM SPSS Statistics vs. Oracle Advanced Analytics report.
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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.
