We performed a comparison between IBM SPSS Modeler and Teradata Analytics [EOL] based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."It's a very organized product. It's easy to use."
"Stability is good."
"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."
"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"
"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."
"It is a great product for running statistical analysis."
"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."
"We have been able to do some predictive modeling with it"
"nPath has made journey/path analysis much easier."
"It has been fantastic for running complete data sets (no sampling required)."
"Provides ease of formulating a solution based on SQL-like queries."
"Customer support is hard to contact."
"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."
"The platform's cloud version needs improvements."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"The forecasting could be a bit easier."
"It would be beneficial if the tool would include more well-known machine learning algorithms."
"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."
"We have run into a few problems doing some entity matching/analytics."
"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such."
"We have struggled with uptime. Some of the features need to be updated."
"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms."
Earn 20 points
IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Mining. IBM SPSS Modeler is rated 8.0, while Teradata Analytics [EOL] is rated 7.0. 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 Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Alteryx, whereas Teradata Analytics [EOL] is most compared with .
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