We performed a comparison between Amazon SageMaker and Microsoft Azure Machine Learning Studio based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."They are doing a good job of evolving."
"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 most valuable feature of Amazon SageMaker for me is the model deployment service."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"We were able to use the product to automate processes."
"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."
"We've had no problems with SageMaker's stability."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"Microsoft Azure Machine Learning Studio is easy to use and deploy."
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure."
"Regarding the technical support for the solution, I find the documentation provided comprehensive and helpful."
"The UI is very user-friendly and that AI is easy to use."
"Azure's AutoML feature is probably better than the competition."
"It helps in building customized models, which are easy for clients to use."
"The solution is scalable."
"The solution's most beneficial feature is its integration with Azure."
"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."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"There are other better solutions for large data, such as Databricks."
"The documentation must be made clearer and more user-friendly."
"Lacking in some machine learning pipelines."
"The solution needs to be cheaper since it now charges per document for extraction."
"SageMaker would be improved with the addition of reporting services."
"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."
"The platform's integration feature could be better."
"They should have a desktop version to work on the platform."
"The solution cannot connect to private block storage."
"One area where Azure Machine Learning Studio could improve is its user interface structure."
"The solution should be more customizable. There should be more algorithms."
"It would be great if the solution integrated Microsoft Copilot, its AI helper."
"The price of the solution has room for improvement."
"The product must improve its documentation."
More Microsoft Azure Machine Learning Studio Pricing and Cost Advice →
Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 51 reviews. Amazon SageMaker is rated 7.4, while Microsoft Azure Machine Learning Studio is rated 7.6. 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 Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Dataiku, whereas Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and IBM Watson Studio. See our Amazon SageMaker vs. Microsoft Azure Machine Learning Studio report.
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