MLOps & responsible AI · AWS vs Google Cloud
Amazon SageMaker Ground Truth vs Agent Platform dataset labeling
SageMaker Ground Truth's self-labeling features map to labeling in Agent Platform managed datasets, where your own team labels data in the console.
Side-by-side comparison
| Aspect | Amazon Web Services | Google Cloud |
|---|---|---|
| Service | Amazon SageMaker Ground Truth Maintenance | Agent Platform dataset labeling |
| Lifecycle | No longer open to new customers (lifecycle announcement June 30, 2026). Ground Truth Plus fully shut down June 30, 2026. The Mechanical Turk workforce option reached end of support Sep 30, 2026. | Generally available |
| What it is | Human and ML-assisted data labeling with private, vendor, or (formerly) Mechanical Turk workforces. | Label images, video, text, and tabular data yourself in the console inside a managed dataset. |
| Pricing model | Existing Ground Truth customers pay per labeled object plus workforce costs. | See the Agent Platform pricing page; you pay for dataset storage. |
| Docs | Amazon SageMaker Ground Truth docs | Agent Platform dataset labeling docs |
| Pricing page | Amazon SageMaker Ground Truth pricing | — |
Key differences
- We found no managed human labeling workforce in the current Agent Platform docs; Ground Truth Plus offers one on AWS.
- Ground Truth is in maintenance on AWS.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Existing Ground Truth customers pay per labeled object plus workforce costs. Amazon SageMaker Ground Truth pricing →
- GCP
- See the Agent Platform pricing page; you pay for dataset storage.
And on Azure?
No equivalent Azure's equivalent is Azure ML data labeling. AWS vs Azure comparison →
Verification notes
- Absence of a managed labeling workforce is based on the current docs on 2026-10-27.
FAQ
What is the Google Cloud equivalent of Amazon SageMaker Ground Truth?
SageMaker Ground Truth's self-labeling features map to labeling in Agent Platform managed datasets, where your own team labels data in the console.
How does pricing compare between Amazon SageMaker Ground Truth and Agent Platform dataset labeling?
AWS: Existing Ground Truth customers pay per labeled object plus workforce costs. Google Cloud: See the Agent Platform pricing page; you pay for dataset storage. Check the official pricing pages for current rates.
What is the Azure equivalent?
Azure ML data labeling (no equivalent). Azure no longer has a first-party equivalent of SageMaker Ground Truth.