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 will scale up to anything we need."
"Automation is great and this product is very organized."
"It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it"
"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."
"Very good data aggregation."
"We have full control of the data handling process."
"Compared to other tools, the product works much easier to analyze data without coding."
"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."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"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."
"C&DS will not meet our scalability needs."
"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."
"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."
"The standard package (personal) is not supported for database connection."
"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."
"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."
"It's not as user friendly as it could be."
"Initial setup of the software was complex, because of our own problems within the government."
"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."
"There are some transactions we have not been able to find through the dashboard."
Earn 20 points
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.
