We performed a comparison between IBM SPSS Statistics 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."Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"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."
"It has the ability to easily change any variable in our research."
"in terms of the simplicity, I think the SPSS basic can handle it."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"It offers very good visualization."
"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."
"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."
"Better documentation on how to use macros."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"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 product should provide more ways to import data and export results that are user-friendly for high-level executives."
"The solution needs to improve forecasting using time series analysis."
"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."
"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."
Earn 20 points
IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Mining. IBM SPSS Statistics is rated 8.0, while Teradata Analytics [EOL] is rated 7.0. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and Weka, whereas Teradata Analytics [EOL] is most compared with .
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