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."Allows you to create API endpoints."
"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."
"We've had no problems with SageMaker's stability."
"The tool makes our ML model development a bit more efficient because everything is in one environment."
"The product aggregates everything we need to build and deploy machine learning models in one place."
"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."
"We were able to use the product to automate processes."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
"The scalability of the solution is good; I'd rate it four out of five."
"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."
"Lacking in some machine learning pipelines."
"The solution requires a lot of data to train the model."
"The documentation must be made clearer and more user-friendly."
"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"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."
"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 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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