Overview
Product Information on Amazon SageMaker
What is Amazon SageMaker?
Amazon SageMaker Pricing
Overall experience with Amazon SageMaker
“Sagemaker Handles Most ML Infrastructure but Limits User Control Options”
“Extensive Machine Learning Options Offset by High Cost and Complex Navigation”
About Company
Company Description
Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
Company Details
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: Amazon SageMaker
Amazon SageMaker Likes & Dislikes
it gives me freedom & flexibility to focus on other important tasks like creating SLAs
Read Full Reviewi like that it is comprehensive and invludes many features for ML development in one place. i dont like how expensive it is.
Read Full Reviewease of use easy to integrate with onprem applications and very useful for my team and extended teams
Read Full Review
Top Amazon SageMaker Alternatives
Peer Discussions
Amazon SageMaker Reviews and Ratings
- Engineer1B-10B USDBankingReview Source
Sagemaker Handles Most ML Infrastructure but Limits User Control Options
I like Sagemaker because it does most of the heavylifting of ML infrastructure & allowing me to focus on other important things. - IT Manager<50M USDBankingReview Source
Extensive Machine Learning Options Offset by High Cost and Complex Navigation
i am able to navigate and figure out how to spin up notebooks etc, but it takes time - VP, Engineering1B-10B USDBankingReview Source
Product Features Facilitate Seamless Integration With On-Premises Applications and Teams
very good experience using the product. excellent out of the box features good features available . definitely will recommend to the other users. very extensible and easy to use - Chief Operating Officer<50M USDServices (non-Government)Review Source
Scalability and Versatility Address Unique Challenges for Client Requirements
it meets what we need exactly, it has a solution for every micro problem - Data Scientits50M-1B USDHardwareReview Source
SageMaker Adoption Supported by Inferentia for Improved Model Deployment
awesome product AWS keep pushing boundaries with SageMaker, we are using for training and deploying our models, and will benefit from Inferentia