We performed a comparison between IBM SPSS Modeler 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."Stability is good."
"Very good data aggregation."
"It is very scalable for non-technical people."
"Some basic form of feature engineering for classification models. This really quickens the model development process."
"New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data."
"It helped me in that I didn't need to write them by hand, and I could get a result in one or two minutes. That helped me a lot."
"It's a very organized product. It's easy to use."
"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 dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"Ability to pull together multiple sources of information."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."
"It is not integrated with Qlik, Tableau, and Power BI."
"C&DS will not meet our scalability needs."
"It's not as user friendly as it could be."
"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."
"The product does not have a search function for tags."
"Unstructured data is not appropriate for SPSS Modeler."
"Dimension reduction should be classified separately."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"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."
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IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while Oracle Advanced Analytics is ranked 7th in Data Mining. IBM SPSS Modeler is rated 8.0, while Oracle Advanced Analytics 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 Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Alteryx, whereas Oracle Advanced Analytics is most compared with IBM SPSS Statistics and Weka.
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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.
