We performed a comparison between Amazon SageMaker and SAP Predictive Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The few projects we have done have been promising."
"The product aggregates everything we need to build and deploy machine learning models in one place."
"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."
"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."
"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."
"We've had no problems with SageMaker's stability."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"We were able to use the product to automate processes."
"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."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful."
"The product must provide better documentation."
"The solution needs to be cheaper since it now charges per document for extraction."
"The solution requires a lot of data to train the model."
"AI is a new area and AWS needs to have an internship training program available."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"There are other better solutions for large data, such as Databricks."
"This solution works for acquired data but not live, real-time data."
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Amazon SageMaker is ranked 5th in Data Science Platforms with 18 reviews while SAP Predictive Analytics is ranked 24th in Data Science Platforms. Amazon SageMaker is rated 7.2, while SAP Predictive Analytics is rated 8.6. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, the top reviewer of SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Microsoft Azure Machine Learning Studio, whereas SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Domino Data Science Platform and KNIME.
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