SAS Enterprise Miner and Cloudera Data Science Workbench are tools in the data science and analytics category. Cloudera Data Science Workbench appears to have the upper hand for its flexibility and cloud-based scalability.
Features: SAS Enterprise Miner provides predictive modeling, text mining, and a broad set of statistical tools. Cloudera Data Science Workbench offers collaborative model building in Python and R, efficient cloud scalability, and a dynamic environment for data science applications.
Ease of Deployment and Customer Service: SAS Enterprise Miner requires on-premise deployment, which can be complex initially, backed by strong customer support. Cloudera Data Science Workbench supports easy cloud deployment and collaboration but offers varied support experiences due to cloud infrastructure reliance.
Pricing and ROI: SAS Enterprise Miner demands a significant upfront investment, which can yield long-term ROI for heavy users. Cloudera Data Science Workbench presents competitive pricing with scalable options, catering to organizations focused on cost-efficiency and achieving quicker ROI for diverse projects.
Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.
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