We performed a comparison between IBM SPSS Statistics and TIBCO Data Science based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."One feature I found very valuable was the analysis of variance (ANOVA)."
"It is a modeling tool with helpful automation."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"It offers very good visualization."
"The most valuable feature is its robust statistical analysis capabilities."
"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 idea that you don't have to generate reports each day but they are sent automatically is great."
"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."
"The most valuable feature is the performance."
"The most valuable feature is the ease of setting up visualizations."
"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."
"Better documentation on how to use macros."
"The design of the experience can be improved."
"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."
"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"The solution needs to improve forecasting using time series analysis."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"I would like the visualization for the map of countries to be more easily configurable."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
"The scripting for customization could be improved."
"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."
Earn 20 points
IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews while TIBCO Data Science is ranked 25th in Data Science Platforms. IBM SPSS Statistics is rated 8.0, while TIBCO Data Science is rated 7.6. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of TIBCO Data Science writes "A straightforward initial setup and good reporting but needs better documentation". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, Weka and IBM SPSS Modeler, whereas TIBCO Data Science is most compared with TIBCO Statistica, MathWorks Matlab, Amazon SageMaker and Dataiku Data Science Studio.
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