# Amazon Web Services 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/amazon-web-services-aws-sagemaker
- **Dataset:** https://optimly.ai/brand/amazon-web-services-aws-sagemaker.json
- **Markdown:** https://optimly.ai/brand/amazon-web-services-aws-sagemaker/llms.txt
- **Official website:** https://amazon.com
- **Slug:** amazon-web-services-aws-sagemaker
- **Categories:** ai-machine-learning, cloud-infrastructure, developer-tools

## Overview

- **Tagline:** The deepest integration with the AWS ecosystem, offering a complete end-to-end ML lifecycle from data prep to edge deployment in a single managed environment.
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Description:** Amazon Web Services (AWS) SageMaker is a fully managed cloud service that provides developers and data scientists with the ability to build, train, and deploy machine learning (ML) models quickly. It removes the heavy lifting from each step of the machine learning process to make it easier to develop high-quality models. As a modular service, it covers the entire ML lifecycle—from data labeling and preparation to hosting and monitoring.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - SageMaker Studio
  - SageMaker Canvas (No-code)
  - SageMaker Ground Truth (Data labeling)
  - SageMaker Pipelines (MLOps)
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Pricing:** Usage-based (Pay-as-you-go)
Source: Brand's website (https://amazon.com) · 2026-10-04

## Audience

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

## Landscape

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

Page last updated 2026-10-17.