Amazon SageMakerAmazon
|
||||||
Related Products
|
||||||
About
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers.
|
About
AI teams face challenges that require new technologies. We build these technologies. Existing data warehouses and data lakes do not fit unstructured datasets like text, images, and videos. AI hand in hand with software development. Built with data scientists, ML engineers, and data engineers in mind. Don’t reinvent the wheel! Fast and cost‑efficient path to production. Your data is always stored by you. Your models are trained on your machines. Existing data warehouses and data lakes do not fit unstructured datasets like text, images, and videos. AI teams face challenges that require new technologies. We build these technologies. Studio is an extension of GitHub, GitLab or BitBucket. Sign up for the online SaaS version or contact us to get on-premise installation
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Machine learning engineers, data scientists, and organizations seeking to develop, deploy, and scale AI solutions efficiently and securely
|
Audience
DevOps searching for machine learning developer tools
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
PricingTry free for two months
Free Version
Not Supported
Free Trial
Supported
|
Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/
|
Company InformationIterative
Founded: 2018
United States
iterative.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Data Labeling Features
Human-in-the-loop
Supported
Labeling Automation
Supported
Labeling Quality
Supported
Performance Tracking
Supported
Polygon, Rectangle, Line, Point
Supported
SDK
Supported
Supports Audio Files
Supported
Task Management
Supported
Team Collaboration
Supported
Training Data Management
Supported
|
||||||
Integrations
Amazon Web Services (AWS)
Supported
APERIO DataWise
Supported
AWS Step Functions
Supported
Amazon FSx for Lustre
Supported
Amazon Nova Forge
Supported
Amazon Redshift
Supported
Amazon S3 Express One Zone
Supported
Amazon SageMaker Canvas
Supported
Amazon SageMaker Clarify
Supported
Amazon SageMaker Model Building
Supported
|
Integrations
Amazon Web Services (AWS)
Supported
APERIO DataWise
Not Supported
AWS Step Functions
Not Supported
Amazon FSx for Lustre
Not Supported
Amazon Nova Forge
Not Supported
Amazon Redshift
Not Supported
Amazon S3 Express One Zone
Not Supported
Amazon SageMaker Canvas
Not Supported
Amazon SageMaker Clarify
Not Supported
Amazon SageMaker Model Building
Not Supported
|
|||||
|
|
|