Anonymous UserVice President & CIO at a logistics company
Abdul-RasoolSenior Practice Manager - Head of SAP at a tech consulting company
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The few projects we have done have been promising."
"They are doing a good job of evolving."
"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."
"Allows you to create API endpoints."
"The deployment is very good, where you only need to press a few buttons."
"The most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."
"AI is a new area and AWS needs to have an internship training program available."
"Lacking in some machine learning pipelines."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"This solution works for acquired data but not live, real-time data."
"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."
"A free trial version is available for testing out this solution."
"The pricing is reasonable"
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.
SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.
Amazon SageMaker is ranked 13th in Data Science Platforms with 5 reviews while SAP Predictive Analytics is ranked 16th in Data Science Platforms with 2 reviews. Amazon SageMaker is rated 7.6, while SAP Predictive Analytics is rated 8.6. 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, the top reviewer of SAP Predictive Analytics writes "Enables us to forecast and pull trends and has an easy installation ". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, H2O.ai and Domino Data Science Platform, whereas SAP Predictive Analytics is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Statistics, KNIME, IBM SPSS Modeler and Alteryx. See our Amazon SageMaker vs. SAP Predictive Analytics report.
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.