We performed a comparison between IBM SPSS Statistics and MathWorks Matlab based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"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."
"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."
"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."
"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 are the small learning curve and its ability to hold a lot of data."
"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."
"in terms of the simplicity, I think the SPSS basic can handle it."
"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."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"The technical support should be improved."
"The statistics should be more self-explanatory with detailed automated reports."
"I think the visualization and charting should be changed and made easier and more effective."
"The solution needs more planning tools and capabilities."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"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."
"There is a learning curve; it's not very steep, but there is one."
"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 15th 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, TIBCO Data Science, Anaconda and Microsoft Azure Machine Learning Studio. See our IBM SPSS Statistics vs. MathWorks Matlab report.
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