Amazon SageMaker Autopilot

Spec sheet

What it does

Amazon SageMaker Autopilot automates data inspection, preprocessing, feature engineering, algorithm selection, model training, tuning, evaluation and ranking for machine-learning projects.Read 19 Oct 2026 · docs.aws.amazon.com

Purpose

Autopilot automatically creates machine learning models with full visibility and is now in SageMaker Canvas.Read 30 Sep 2026 · aws.amazon.com

Deployment

After training, users can deploy Autopilot models to real-time endpoints or run batch inference jobs.Read 19 Oct 2026 · docs.aws.amazon.com

API

The public Autopilot REST API includes CreateAutoMLJob, CreateAutoMLJobV2, DescribeAutoMLJob, DescribeAutoMLJobV2 and ListAutoMLJobs operations.Read 19 Oct 2026 · docs.aws.amazon.com

Integrations

Reviewer evidence describes integrations with Amazon S3, IAM, CloudWatch and ECR, while AWS documents Studio and Canvas integration.Read 19 Oct 2026 · gartner.com

Security

AWS describes its cloud security approach as combining security of the cloud infrastructure with security in the cloud through customer controls.Read 30 Sep 2026 · aws.amazon.com

Compliance

AWS provides compliance information and resources for customers to understand AWS services’ compliance status.Read 30 Sep 2026 · aws.amazon.com

Support

AWS provides support plans with proactive guidance, issue resolution, and tools.Read 30 Sep 2026 · aws.amazon.com

Headquarters

Seattle, Washington, United StatesRead 28 Sep 2026 · aws.amazon.com

Founded

2024Read 28 Sep 2026 · aws.amazon.com

Automatic model selection

Autopilot infers problem types such as binary classification, multiclass classification, regression and time-series forecasting, then evaluates many candidate algorithms.Read 19 Oct 2026 · aws.amazon.com

Canvas migration

Since November 30, 2023, the Autopilot user interface has been migrating into SageMaker Canvas, while Studio Classic users can continue using the older interface.Read 19 Oct 2026 · docs.aws.amazon.com

Customization

Users can apply their own transformations alongside more than 300 preconfigured data transformations and customize data splits and training options.Read 30 Sep 2026 · aws.amazon.com

Data preparation

It can fill missing data, provide statistical insights about dataset columns, and extract information from non-numeric columns.Read 30 Sep 2026 · aws.amazon.com

Data preprocessing

Autopilot handles missing values, normalizes data, selects features and prepares training data automatically.Read 19 Oct 2026 · docs.aws.amazon.com

Documentation depth

AWS publishes separate user guides, API references, deployment instructions, algorithm-support pages and quota documentation for Autopilot.Read 19 Oct 2026 · docs.aws.amazon.com

Explainability

Autopilot generates feature-importance and model-performance reports, including confusion matrices and ROC or precision-recall visualizations where supported.Read 19 Oct 2026 · docs.aws.amazon.com

Feature engineering

The product offers more than 300 preconfigured data transformations and allows custom preprocessing and feature-engineering steps.Read 19 Oct 2026 · aws.amazon.com

Free tier

SageMaker AI’s Free Tier runs for the first two months from the first month a customer creates a SageMaker AI resource and includes 160 hours/month of Canvas session time.Read 30 Sep 2026 · aws.amazon.com

Generated notebooks

Autopilot can generate a SageMaker Studio Notebook for a created model so users can inspect, refine, and recreate it.Read 30 Sep 2026 · aws.amazon.com

Input quota

The default input-dataset quota is 100 GB and can be increased to hundreds of gigabytes; a single Parquet file is limited to 2 GB.Read 19 Oct 2026 · docs.aws.amazon.com

Kubeflow integration

AWS provides open-source SageMaker components for Kubeflow Pipelines to use SageMaker for labeling, training and inference steps.Read 19 Oct 2026 · aws.amazon.com

Leaderboard

Experiments produce a ranked model leaderboard with metrics such as accuracy and precision for choosing a deployment candidate.Read 19 Oct 2026 · aws.amazon.com

Limit: complexity and interface

G2 reviewers report that SageMaker can feel overcomplicated, with a cluttered interface and pipeline tooling that is less friendly than alternatives.Read 19 Oct 2026 · g2.com

Limit: cost

Gartner reviewer feedback repeatedly identifies SageMaker's price points and expense as a drawback.Read 19 Oct 2026 · gartner.com

Limit: image handling

G2 reviewers describe difficulties passing image data to some models and note that image-focused data support can be limited.Read 19 Oct 2026 · g2.com

Limit: runaway costs

A Capterra reviewer warns that leaving domains or resources active can incur charges quickly.Read 19 Oct 2026 · capterra.com

Limit: scheduling and metrics

A TrustRadius reviewer reports that SageMaker lacks easy scheduling for training jobs and straightforward tracking of metrics logged during training.Read 19 Oct 2026 · trustradius.com

Maker facts

LinkedIn lists Amazon Web Services as founded in 2006, headquartered in Seattle, Washington, and employing more than 10,001 people.Read 19 Oct 2026 · linkedin.com

Maker ownership

Amazon Web Services, Inc. is identified as an Amazon.com, Inc. company.Read 19 Oct 2026 · press.aboutamazon.com

Model building

It automatically builds, trains, and tunes models based on your data while providing control and visibility.Read 30 Sep 2026 · aws.amazon.com

Model comparison

A leaderboard ranks generated models and shows performance metrics such as accuracy and precision.Read 30 Sep 2026 · aws.amazon.com

Notable news: SageMaker platform consolidation

On December 3, 2024, AWS announced a next-generation SageMaker platform unifying analytics, data processing, model development, training and generative-AI capabilities.Read 19 Oct 2026 · press.aboutamazon.com

Notebook generation

For tabular regression and classification, Autopilot creates notebooks showing data exploration and candidate-model code that users can modify and rerun.Read 19 Oct 2026 · docs.aws.amazon.com

Praise: AWS integration

Gartner reviewers repeatedly praise the unified lifecycle and integrations with S3, Lambda, CloudWatch and IAM.Read 19 Oct 2026 · gartner.com

Praise: ease and productivity

Capterra reviewers praise simplified model training, automatic feature selection and faster machine-learning work.Read 19 Oct 2026 · capterra.com

Praise: managed infrastructure

G2 reviewers praise managed training and deployment because it removes cluster-management and scaling work.Read 19 Oct 2026 · g2.com

Prediction types

Autopilot infers whether data suits binary classification, multiclass classification, regression, or time series forecasting.Read 30 Sep 2026 · aws.amazon.com

Pricing basis

SageMaker AI charges for usage, and its on-demand option has no minimum fees or upfront commitments.Read 30 Sep 2026 · aws.amazon.com

Pricing model

SageMaker AI charges for the underlying compute and storage resources used by Autopilot and related AWS services.Read 19 Oct 2026 · aws.amazon.com

Python SDK licence

The open-source SageMaker Python SDK is distributed under the Apache 2.0 licence.Read 19 Oct 2026 · github.com

Rating on Capterra

4.7 out of 5 from 3 reviews.Read 19 Oct 2026 · capterra.com

Rating on G2

4.3 out of 5 from 57 reviews.Read 19 Oct 2026 · g2.com

Rating on Gartner Peer Insights

4.3 out of 5 from 41 ratings.Read 19 Oct 2026 · gartner.com

Rating on TrustRadius

8.9 out of 10 from 61 reviews and ratings.Read 19 Oct 2026 · trustradius.com

SDKs

AWS documents programmatic use through Boto3 and the AutoMLV2 object in the Amazon SageMaker Python SDK.Read 19 Oct 2026 · docs.aws.amazon.com

Security model

SageMaker uses AWS's shared-responsibility security model, with AWS securing the cloud infrastructure and customers securing their configurations and data.Read 19 Oct 2026 · docs.aws.amazon.com

Supported advanced workloads

Text and image classification, time-series forecasting and large-language-model fine-tuning are available through the AutoML version 2 API.Read 19 Oct 2026 · docs.aws.amazon.com

System quota

An Autopilot job has a documented maximum runtime of 30 days per AWS Region.Read 19 Oct 2026 · docs.aws.amazon.com

Training modes

Autopilot supports ensembling with AutoGluon and hyperparameter optimization using Bayesian or multi-fidelity optimization.Read 19 Oct 2026 · docs.aws.amazon.com

Use cases

AWS describes use cases including price prediction, churn prediction, risk assessment, and time series forecasting.Read 30 Sep 2026 · aws.amazon.com

Plans and prices

Every Amazon SageMaker Autopilot plan and price →

Where Specifiction places it

• AutoML Software#3 of 308.7
• Model registries#7 of 388.7