MLOps & responsible AI · AWS vs Google Cloud
Amazon SageMaker Pipelines vs Agent Platform Pipelines
SageMaker Pipelines maps to Agent Platform Pipelines, a serverless runner for pipelines written with the Kubeflow Pipelines SDK or TensorFlow Extended (TFX).
Side-by-side comparison
| Aspect | Amazon Web Services | Google Cloud |
|---|---|---|
| Service | Amazon SageMaker Pipelines | Agent Platform Pipelines |
| Lifecycle | Generally available | Generally available |
| What it is | Serverless ML workflow orchestration with a visual editor, SDK, and lineage tracking. | Serverless runner for ML workflows written with the Kubeflow Pipelines SDK or TensorFlow Extended (TFX). |
| Pricing model | No charge for orchestration. You pay for the jobs each step runs. | A small execution fee per pipeline run, plus the compute and services each step uses. |
| Docs | Amazon SageMaker Pipelines docs | Agent Platform Pipelines docs |
| Pricing page | Amazon SageMaker Pipelines pricing | Agent Platform Pipelines pricing |
Key differences
- Pipelines are portable Kubeflow Pipelines definitions; SageMaker Pipelines uses its own SDK.
- Google publishes prebuilt pipeline components for Agent Platform services.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- No charge for orchestration. You pay for the jobs each step runs. Amazon SageMaker Pipelines pricing →
- GCP
- A small execution fee per pipeline run, plus the compute and services each step uses. Agent Platform Pipelines pricing →
And on Azure?
Direct match Azure's equivalent is Azure Machine Learning pipelines, Azure ML Designer. AWS vs Azure comparison →
FAQ
What is the Google Cloud equivalent of Amazon SageMaker Pipelines?
SageMaker Pipelines maps to Agent Platform Pipelines, a serverless runner for pipelines written with the Kubeflow Pipelines SDK or TensorFlow Extended (TFX).
How does pricing compare between Amazon SageMaker Pipelines and Agent Platform Pipelines?
AWS: No charge for orchestration. You pay for the jobs each step runs. Google Cloud: A small execution fee per pipeline run, plus the compute and services each step uses. Check the official pricing pages for current rates.
What is the Azure equivalent?
Azure Machine Learning pipelines and Azure ML Designer (direct match). Amazon SageMaker Pipelines maps to Azure Machine Learning pipelines.