We performed a comparison between Cloudera Data Science Workbench and IBM SPSS Statistics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The Cloudera Data Science Workbench is customizable and easy to use."
"I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy to manage. Its API calls are also fast."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"It is a modeling tool with helpful automation."
"You can quickly build models because it does the work for you."
"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 best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"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."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"The tool's MLOps is not good. It's pricing also needs to improve."
"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."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"Better documentation on how to use macros."
"I think the visualization and charting should be changed and made easier and more effective."
"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 statistics should be more self-explanatory with detailed automated reports."
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Cloudera Data Science Workbench is ranked 17th in Data Science Platforms with 2 reviews while IBM SPSS Statistics is ranked 8th in Data Science Platforms with 36 reviews. Cloudera Data Science Workbench is rated 7.0, while IBM SPSS Statistics is rated 8.0. The top reviewer of Cloudera Data Science Workbench writes "Useful for data science modeling but improvement is needed in MLOps and pricing ". On the other hand, the top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Google Cloud Datalab, whereas IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and Weka.
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