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 deployment is very good, where you only need to press a few buttons."
"The few projects we have done have been promising."
"We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for these models, making accessing them convenient as needed."
"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 superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"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 product aggregates everything we need to build and deploy machine learning models in one place."
"Allows you to create API endpoints."
"The scalability of the solution is good; I'd rate it four out of five."
"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."
"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."
"The solution requires a lot of data to train the model."
"SageMaker would be improved with the addition of reporting services."
"The documentation must be made clearer and more user-friendly."
"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."
"There are other better solutions for large data, such as Databricks."
"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, Dataiku and DataRobot, whereas Domino Data Science Platform is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku, Alteryx and KNIME.
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