We performed a comparison between Cloudera Data Science Workbench and SAS Visual Analytics 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."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"The flexibility of the configuration is valuable to me."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It integrates well with SAS, making it simple and quick for developers."
"I use Visual Analytics for enterprise reporting."
"It's a stable, reliable product."
"Great for handling complex data models."
"Simplifies report designs and quickly displays tables and graphs."
"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."
"I haven't come across any missing features."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"The solution is a little weak at the front end."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"SAS Visual Analytics could be more user-friendly."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The product is expensive and needs the integration of more languages."
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Cloudera Data Science Workbench is ranked 19th in Data Science Platforms with 2 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. Cloudera Data Science Workbench is rated 7.0, while SAS Visual Analytics is rated 8.2. 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 SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku and Google Cloud Datalab, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku.
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