Amazon SageMaker

The fastest way to prepare data for ML

(77 Ratings) Write Review

What is Amazon SageMaker and how does it work? Amazon SageMaker is a fully integrated service that allows data scientists and developers to easily and quickly train, deploy, and build machine learning models at any range by bringing all bot set capabilities together. It allows users to upload data quickly, tune and train models, compare results and deploy production models all in one place. This software offers a single web-based visual interface to perform all machine learning development steps and enhance data science and team productivity. Moreover, Amazon SageMaker comprises the autopilot features that eliminate the heavy lifting of building a machine learning model and helps users automatically train, build, and tune the ideal machine learning model based on their data. Amazon SageMaker autopilot will automatically search different solutions to discover the best model. Users then can directly deploy the model to production in one click to enhance the model quality. Amazon SageMaker offers other extensive features that assists users in simplifying the data preparation process and helping complete the data preparation workflow. Amazon SageMaker offers a premium and follows a subscription-based pricing strategy.

Amazon SageMaker Features

Transparency Tool
Data Privacy
Labeling
Machine Learning
Data Security
Training Management

Amazon SageMaker Technical details

Support	Online	Customer Type	Large Enterprises Medium Business Small Business
API		Location / Phone Number	NA
Deployment	SaaS/Web/Cloud	Official Website	https://aws.amazon.com/sagemaker/
Deployment	SaaS/Web/Cloud	Category	New SaaS Software

Amazon SageMaker Pricing

Pricing ModelFreemium , Subscription

Amazon SageMaker

Features

Amazon SageMaker Studio notebooks , On-demand notebook instances: 250 hours of ml.t3.medium instance on Studio notebooks OR 250 hours of ml.t2 medium instance or ml.t3.medium instance on on-demand notebook instances
Amazon SageMaker Data Wrangler: 25 hours of ml.m5.4xlarge instance
Amazon SageMaker Feature Store: 10M write units, 10M read units, 25 GB storage
Training: 50 hours of m4.xlarge or m5.xlarge instances
Inference: 125 hours of m4.xlarge or m5.xlarge instances

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Disclaimer: The pricing details were last updated on 17/12/2020 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

Learn more about Amazon SageMaker pricing.

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