We performed a comparison between IBM SPSS Statistics and Oracle Advanced Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."
"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 software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"SPSS is quite robust and quicker in terms of providing you the output."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"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 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 dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"Ability to pull together multiple sources of information."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"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 solution needs more planning tools and capabilities."
"The technical support should be improved."
"I think the visualization and charting should be changed and made easier and more effective."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"The reports could be better."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"There are some transactions we have not been able to find through the dashboard."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
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. IBM SPSS Statistics is rated 8.0, while Oracle Advanced Analytics is rated 8.0. 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, IBM SPSS Modeler and Databricks, whereas Oracle Advanced Analytics is most compared with Weka.
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