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."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."
"The flexibility of the configuration is valuable to me."
"It's a stable, reliable product."
"The technical support services are good."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"Great for handling complex data models."
"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."
"Data handling is one of the best features of SAS Visual Analytics."
"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."
"Colours used on report objects"
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The solution is a little weak at the front end."
"The installation process can be a bit complex."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"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."
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Cloudera Data Science Workbench is ranked 16th in Data Science Platforms with 2 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. Cloudera Data Science Workbench is rated 7.0, while SAS Visual Analytics 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 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 Data Science Studio and Google Cloud Datalab, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio.
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