"The deployment is very good, where you only need to press a few buttons."
"The technical support is very good."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"The initial setup is challenging if doing it for the first time."
"The solution is much more complex than other options."
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.
Amazon SageMaker is ranked 9th in Data Science Platforms with 1 review while SAS Enterprise Miner is ranked 12th in Data Science Platforms with 2 reviews. Amazon SageMaker is rated 7.0, while SAS Enterprise Miner is rated 6.6. The top reviewer of Amazon SageMaker writes "Good deployment and monitoring features, but the interface could use some improvement". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good technical support but too complex and not open-source". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Domino Data Science Platform and Google Cloud Datalab, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, RapidMiner and Alteryx.
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