We performed a comparison between IBM SPSS Statistics and Microsoft Azure Machine Learning Studio 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."It offers very good visualization."
"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."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"Most of the product features are good but I particularly like the linear regression analysis."
"It is a modeling tool with helpful automation."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"in terms of the simplicity, I think the SPSS basic can handle it."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"It's a great option if you are fairly new and don't want to write too much code."
"Scalability, in terms of running experiments concurrently is good. At max, I was able to run three different experiments concurrently."
"Their web interface is good."
"The graphical nature of the output makes it very easy to create PowerPoint reports as well."
"The solution is scalable."
"The ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout."
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"The interface is very intuitive."
"It could provide even more in the way of automation as there are many opportunities."
"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."
"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."
"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 could improve by providing a visual network for predictions and a self-organizing map for clustering."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"The statistics should be more self-explanatory with detailed automated reports."
"The solution's initial setup process is complicated."
"There should be data access security, a role level security. Right now, they don't offer this."
"It is not easy. It is a complex solution. It takes some time to get exposed to all the concepts. We're trying to have a CI/CD pipeline to deploy a machine learning model using negative actions. It was not easy. The components that we're using might have something to do with this."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"They should have a desktop version to work on the platform."
"Overall, the icons in the solution could be improved to provide better guidance to users. Additionally, the setup process for the solution could be made easier."
"It could use to add some more features in data transformation, time series and the text analytics section."
"The solution should be more customizable. There should be more algorithms."
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IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews while Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 47 reviews. IBM SPSS Statistics is rated 8.0, while Microsoft Azure Machine Learning Studio 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 Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, IBM SPSS Modeler, Weka and Google Cloud Datalab, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and Alteryx. See our IBM SPSS Statistics vs. Microsoft Azure Machine Learning Studio report.
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