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Description
Amazon Corretto is a free, multiplatform, production-ready distribution of the Open Java Development Kit (OpenJDK). It offers long-term support that encompasses ongoing performance improvements and essential security updates. Widely utilized within Amazon’s own production environment, Corretto operates seamlessly on a multitude of services and is certified for compatibility with the Java SE standard. Users can develop and deploy Java applications across various operating systems, such as Linux, Windows, and macOS. With Amazon Corretto, the long-term support is provided at no cost, allowing users to upgrade versions at their convenience. This commitment from Amazon highlights their confidence in Corretto’s reliability and performance. Moreover, Corretto acts as a drop-in substitute for several other Java SE distributions. To ensure users receive the best experience, Amazon issues quarterly updates that bring necessary enhancements and security improvements. This dedication to maintaining and improving Corretto guarantees its effectiveness for developers and enterprises alike.
Description
Amazon SageMaker Studio serves as a comprehensive integrated development environment (IDE) that offers a unified web-based visual platform, equipping users with specialized tools essential for every phase of machine learning (ML) development, ranging from data preparation to the creation, training, and deployment of ML models, significantly enhancing the productivity of data science teams by as much as 10 times. Users can effortlessly upload datasets, initiate new notebooks, and engage in model training and tuning while easily navigating between different development stages to refine their experiments. Collaboration within organizations is facilitated, and the deployment of models into production can be accomplished seamlessly without leaving the interface of SageMaker Studio. This platform allows for the complete execution of the ML lifecycle, from handling unprocessed data to overseeing the deployment and monitoring of ML models, all accessible through a single, extensive set of tools presented in a web-based visual format. Users can swiftly transition between various steps in the ML process to optimize their models, while also having the ability to replay training experiments, adjust model features, and compare outcomes, ensuring a fluid workflow within SageMaker Studio for enhanced efficiency. In essence, SageMaker Studio not only streamlines the ML development process but also fosters an environment conducive to collaborative innovation and rigorous experimentation.
Amazon SageMaker Unified Studio provides a seamless and integrated environment for data teams to manage AI and machine learning projects from start to finish. It combines the power of AWS’s analytics tools—like Amazon Athena, Redshift, and Glue—with machine learning workflows.
API Access
Has API
API Access
Has API
Integrations
AWS Fargate
AWS Glue
AWS Lambda
Amazon EC2
Amazon EKS
Amazon EMR
Amazon Linux 2
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Integrations
AWS Fargate
AWS Glue
AWS Lambda
Amazon EC2
Amazon EKS
Amazon EMR
Amazon Linux 2
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/corretto/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/sagemaker/studio/
Product Features
IDE
Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor
Product Features
IDE
Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
