# Aws Sagemaker

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

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

## Overview

- **Tagline:** Deepest integration with the AWS data ecosystem (S3, Redshift, Glue) combined with the most comprehensive set of MLOps features in a single managed service.
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Description:** Amazon SageMaker is a comprehensive cloud-based machine learning platform that enables developers and data scientists to build, train, and deploy machine learning models at scale. It provides an integrated development environment (IDE) that abstracts the underlying infrastructure, allowing users to focus on model logic rather than server management.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - SageMaker Studio
  - SageMaker Training
  - SageMaker Hosting Services
  - SageMaker Canvas
  - SageMaker Clarify.
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, Financial Services, Healthcare, Tech Startups.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Landscape

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

Page last updated 2026-10-17.