We performed a comparison between Amazon SageMaker and Domino Data Science Platform 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 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."
"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."
"Allows you to create API endpoints."
"The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."
"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."
"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."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"The scalability of the solution is good; I'd rate it four out of five."
"The solution needs to be cheaper since it now charges per document for extraction."
"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"Lacking in some machine learning pipelines."
"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."
"The solution is complex to use."
"The predictive analysis feature needs improvement."
Earn 20 points
Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while Domino Data Science Platform is ranked 19th in Data Science Platforms. Amazon SageMaker is rated 7.4, while Domino Data Science Platform is rated 7.0. 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 Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Microsoft Azure Machine Learning Studio and Dataiku, whereas Domino Data Science Platform is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku, Alteryx and KNIME.
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