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."It works fine. I have not had any stability issues; it is always up."
"It will scale up to anything we need."
"It's a very organized product. It's easy to use."
"The visual modeling capability is one of its attractive features."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."
"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."
"It scales. I have not run into any challenges where it will not perform."
"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."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"The forecasting could be a bit easier."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."
"We have run into a few problems doing some entity matching/analytics."
"The challenge for the very technical data scientists: It is constraining for them."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"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."
"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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