Amazon SageMaker (Standalone ML Brand) Amazon SageMaker Unified Studio
Unified web-based development environment bringing together AWS data, SQL analytics, data processing, generative AI, and machine learning workflows.
Naming timeline
- Amazon SageMaker (Standalone ML Brand)
Originally represented only the standalone machine learning model build/train/deploy service.
- Amazon SageMaker Unified StudioCurrent name
Parent Amazon SageMaker brand expanded into an integrated data, analytics, and AI platform featuring SageMaker Unified Studio, SageMaker Lakehouse, SageMaker Catalog (built on DataZone), and SageMaker AI.
What happened to Amazon SageMaker (Standalone ML Brand)?
Amazon SageMaker (Standalone ML Brand) was split up, and this part of it is now Amazon SageMaker Unified Studio, with the latest change on 3 December 2024 (Umbrella Expansion & Unified Studio Launch (AWS re:Invent 2024)). Unified web-based development environment bringing together AWS data, SQL analytics, data processing, generative AI, and machine learning workflows. Only the customer-facing name changed; the underlying technical identifiers remain backward compatible.
Also known as
- Next-Generation Amazon SageMaker
- Amazon SageMaker Lakehouse
- Amazon SageMaker Catalog
Technical identifiers
Technical identifiers unchanged. Only the customer-facing product name changed; the APIs, CLI commands, IAM roles and Terraform resources below keep their legacy identifiers for backward compatibility.
| AWS Service APIs / SDKs | datazone sagemaker glue athena |
|---|---|
| AWS CLI Commands | aws datazone aws sagemaker |
| IAM Actions & Policies | datazone:* sagemaker:* arn:aws:iam::aws:policy/SageMakerStudioProjectProvisioningRolePolicy |
| Terraform Resources (aws_*) | aws_datazone_domain aws_datazone_project aws_datazone_environment aws_sagemaker_domain |
SageMaker Unified Studio and SageMaker Catalog leverage the active datazone and sagemaker API namespaces.
Notes & disambiguation
- On December 3, 2024 (AWS re:Invent 2024), AWS repositioned 'Amazon SageMaker' as a comprehensive umbrella platform spanning four pillars: Amazon SageMaker Unified Studio, Amazon SageMaker Lakehouse, Amazon SageMaker Catalog (built on Amazon DataZone), and Amazon SageMaker AI.
- Amazon SageMaker Unified Studio provides a single governed workspace connecting SQL analytics (Amazon Redshift), big data processing (Amazon EMR / AWS Glue), generative AI app development (Amazon Bedrock), and ML model building (Amazon SageMaker AI).
- Under the hood, SageMaker Unified Studio domains, projects, and catalog governance are provisioned through the Amazon DataZone (datazone) API and Terraform aws_datazone_* resources alongside sagemaker.
Sources & official documentation
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