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."
"We were able to use the product to automate processes."
"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."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
"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 deployment is very good, where you only need to press a few buttons."
"We've had no problems with SageMaker's stability."
"The few projects we have done have been promising."
"The scalability of the solution is good; I'd rate it four out of five."
"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."
"The solution is complex to use."
"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."
"AI is a new area and AWS needs to have an internship training program available."
"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."
"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 solution needs to be cheaper since it now charges per document for extraction."
"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 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.
See our list of best Data Science Platforms vendors.
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.