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."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."
"The Cloudera Data Science Workbench is customizable and easy to use."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"It offers very good visualization."
"in terms of the simplicity, I think the SPSS basic can handle it."
"Most of the product features are good but I particularly like the linear regression analysis."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."
"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"The tool's MLOps is not good. It's pricing also needs to improve."
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"The solution needs more planning tools and capabilities."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"The solution needs to improve forecasting using time series analysis."
"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."
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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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