Amazon SageMaker Reviews

15 Ratings
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Score 8.2 out of 100

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Thomas Young | TrustRadius Reviewer
Score 8 out of 10
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Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Well suited scenarios:
  • For quick POC of ML and DL.
  • To train a model on a large dataset using multiple servers.
  • To host a model to be used by multiple applications.
Less appropriate scenarios:
  • For data analysis tasks.
  • For a data scientist who has less of a programming background.
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Gavin Hackeling | TrustRadius Reviewer
Score 7 out of 10
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SageMaker is great for serving Jupyter notebooks, particularly if you already use other AWS products, such as S3. SageMaker's model retraining function is useful if you write a few Lambda functions to invoke jobs. Its model serving function is useful if your team has limited resources and is willing to submit to SageMaker's opinions.
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible.
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Anonymous | TrustRadius Reviewer
May 21, 2018

AWS - The best!

Score 9 out of 10
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SageMaker is well suited for an organization with a robust IT department that might not be as specifically well versed in model building and deployment features. It has built in algorithms and models as well as computations that lay the framework for what our department uses this tool for. It allows our team to get things done whether they are very experienced data scientists or a recent IT new hire who might not know all the ropes yet. They are both able to dive in and develop models and algorithms because the foundation is already there. It is also well suited for a company that uses amazon already as the integration is very easy. I would say the integration might be harder for an organization that does not use Amazon or a smaller organization that might not need as much heavy data or reporting.
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Amazon SageMaker Scorecard Summary

About Amazon SageMaker

Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Categories:  Machine Learning

Amazon SageMaker Technical Details

Operating Systems: Unspecified
Mobile Application:No