# Amazon Sagemaker Aws

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/amazon-sagemaker-aws
- **Dataset:** https://optimly.ai/brand/amazon-sagemaker-aws.json
- **Markdown:** https://optimly.ai/brand/amazon-sagemaker-aws/llms.txt
- **Official website:** https://amazon.com
- **Slug:** amazon-sagemaker-aws
- **Categories:** ai-machine-learning, cloud-infrastructure, developer-tools

## Overview

- **Tagline:** Deepest integration with the AWS data stack (S3, IAM, CloudWatch) and the most comprehensive end-to-end tooling for enterprise-scale ML orchestration.
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Description:** Amazon SageMaker is a comprehensive cloud-based machine learning platform provided by Amazon Web Services. It enables developers and data scientists to build, train, and deploy machine learning models quickly by providing an integrated suite of tools including hosted notebooks, optimized algorithms, and managed hosting.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Model training
  - managed hosting
  - hosted Jupyter notebooks
  - SageMaker Canvas (No-code ML)
  - Ground Truth (data labeling).
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Pricing:** Usage-based (Pay-as-you-go for compute, storage, and data transfer)
Source: Brand's website (https://amazon.com) · 2026-10-04

## Audience

- **Target industry:** Enterprise data science teams, ML engineers, business analysts, and high-growth technology startups.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Landscape

- **Competitors:**
  - Google Cloud Vertex AI
  - Azure Machine Learning
  - Databricks
  - H2O.ai
Source: Brand's website (https://amazon.com) · 2026-10-04

Page last updated 2026-10-17.