Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
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.
Amazon SageMaker is ranked 9th in Data Science Platforms with 1 review while Cloudera Data Science Workbench is ranked 16th in Data Science Platforms. Amazon SageMaker is rated 7.0, while Cloudera Data Science Workbench is rated 0.0. The top reviewer of Amazon SageMaker writes "Good deployment and monitoring features, but the interface could use some improvement". On the other hand, Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Domino Data Science Platform and IBM SPSS Modeler, whereas Cloudera Data Science Workbench is most compared with Databricks, Microsoft Azure Machine Learning Studio, Anaconda, Dataiku Data Science Studio and Google Cloud Datalab.
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