We performed a comparison between IBM SPSS Statistics and MathWorks Matlab based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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 is a modeling tool with helpful automation."
"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."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"SPSS is quite robust and quicker in terms of providing you the output."
"The most valuable feature is its robust statistical analysis capabilities."
"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."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product."
"Personally for me, because I do a lot of development, I like that it is easy to test mathematical algorithms with several matrix calculations. It's perfect for that."
"The solution needs to improve forecasting using time series analysis."
"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."
"The design of the experience can be improved."
"It could allow adding color to data models to make them easier to interpret."
"I think the visualization and charting should be changed and made easier and more effective."
"The statistics should be more self-explanatory with detailed automated reports."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"In the area of improvement, sometimes there are issues with the speed of MathWorks Matlab, particularly in the Simulink environment. The tool's latest versions can be slow to open, taking significant time to load. Additionally, saving data and integrating models can also be time-consuming processes."
"To make use of the GPU, you have to have an Nvidia card. What I would want it to do is to run in Next Generation with Intel or AMD, and not just with Nvidia."
IBM SPSS Statistics is ranked 8th in Data Science Platforms with 36 reviews while MathWorks Matlab is ranked 22nd in Data Science Platforms with 2 reviews. IBM SPSS Statistics is rated 8.0, while MathWorks Matlab is rated 8.6. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of MathWorks Matlab writes "Has Simulink feature which helps with visual representations ". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and IBM Watson Studio, whereas MathWorks Matlab is most compared with Databricks, Anaconda, Microsoft Azure Machine Learning Studio, TIBCO Data Science and SAS Visual Analytics.
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