Anonymous UserVice President & CIO at a logistics company
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."
"The support costs are 10% of the Amazon fees and it comes by default."
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.
SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.
Amazon SageMaker is ranked 12th in Data Science Platforms with 5 reviews while SAS Visual Data Mining and Machine Learning is ranked 25th in Data Science Platforms. Amazon SageMaker is rated 7.6, while SAS Visual Data Mining and Machine Learning is rated 0.0. The top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". On the other hand, Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, H2O.ai and Domino Data Science Platform, whereas SAS Visual Data Mining and Machine Learning is most compared with SAS Enterprise Miner, Microsoft Azure Machine Learning Studio, SAS Visual Analytics, WPS Analytics and Alteryx.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.