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.
OpenText Magellan is a flexible artificial intelligence (AI) and analytics platform that combines machine learning, advanced analytics, and enterprise-grade business intelligence (BI) with the ability to acquire, merge, manage, and analyze structured and unstructured big data.
Amazon SageMaker is ranked 13th in Data Science Platforms with 5 reviews while OpenText Magellan is ranked 27th in Data Science Platforms. Amazon SageMaker is rated 7.6, while OpenText Magellan 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 OpenText Magellan is most compared with IBM Watson Studio.
See our list of best Data Science Platforms vendors.
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