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."in terms of the simplicity, I think the SPSS basic can handle it."
"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."
"IBM SPSS Statistics depends on AI."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."
"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"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."
"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."
"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."
"Better documentation on how to use macros."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."
"The design of the experience can be improved."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms."
"We have struggled with uptime. Some of the features need to be updated."
"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 .
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.
