We performed a comparison between IBM SPSS Statistics and TIBCO Statistica based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"It has the ability to easily change any variable in our research."
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"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."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"The most valuable feature is the user interface because you don't need to write code."
"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."
"One of the best features of TIBCO Statistica is its block-based solution building."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"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."
"The solution needs to improve forecasting using time series analysis."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"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."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis."
IBM SPSS Statistics is ranked 8th in Data Science Platforms with 36 reviews while TIBCO Statistica is ranked 18th in Data Science Platforms with 1 review. IBM SPSS Statistics is rated 8.0, while TIBCO Statistica is rated 8.0. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of TIBCO Statistica writes "Provides versatility in analysis and problem-solving". IBM SPSS Statistics is most compared with Alteryx, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Weka and Oracle Advanced Analytics, whereas TIBCO Statistica is most compared with TIBCO Data Science and SAS Predictive Analytics.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms 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.