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 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."
"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."
"The deployment is very good, where you only need to press a few buttons."
"We've had no problems with SageMaker's stability."
"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."
"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 product must provide better documentation."
"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."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"The solution requires a lot of data to train the model."
"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."
"There are other better solutions for large data, such as Databricks."
"The documentation must be made clearer and more user-friendly."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"The predictive analysis feature needs improvement."
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Amazon SageMaker is ranked 5th in Data Science Platforms with 18 reviews while Domino Data Science Platform is ranked 18th in Data Science Platforms. Amazon SageMaker is rated 7.2, 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 Data Science Studio, whereas Domino Data Science Platform is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Alteryx and KNIME.
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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.
