Cloud Equivalents

ML platform (SageMaker AI ↔ Azure ML) · AWS vs Google Cloud

Amazon SageMaker Studio vs Agent Platform Workbench / Colab Enterprise

SageMaker Studio maps to Agent Platform Workbench (managed JupyterLab) and Colab Enterprise (managed Colab notebooks).

Direct match Use it to: Browser-based notebooks and IDEs on managed compute for data science work.

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Side-by-side comparison

ML IDE & managed notebooks: AWS vs Google Cloud side by side
AspectAmazon Web ServicesGoogle Cloud
ServiceAmazon SageMaker StudioAgent Platform Workbench
Colab Enterprise
LifecycleGenerally availableGenerally available
Generally available
What it isWeb IDE suite for ML. JupyterLab, Code Editor (Code-OSS), RStudio, and Studio Classic.Managed JupyterLab instances on Compute Engine with Agent Platform and BigQuery integration.
Managed, collaborative Colab notebooks with IAM, runtimes you control, and integration with BigQuery and Agent Platform.
Pricing modelPer-second billing for the instance backing each running app/space, plus storage.Workbench bills for the underlying VM, accelerators, and disks while running. Colab Enterprise bills for runtime compute.
DocsAmazon SageMaker Studio docsAgent Platform Workbench docs
Colab Enterprise docs
Pricing pageAmazon SageMaker Studio pricingAgent Platform Workbench pricing
Colab Enterprise pricing

Key differences

  • Workbench instances are Compute Engine VMs you start and stop; Colab Enterprise uses runtimes created from templates.
  • Neither offers SageMaker Studio's built-in Code Editor (VS Code) space; Workbench is JupyterLab.

Pricing summary

Pricing models only. No prices are quoted because they change by region and over time.

AWS
Per-second billing for the instance backing each running app/space, plus storage. Amazon SageMaker Studio pricing →
GCP
Workbench bills for the underlying VM, accelerators, and disks while running. Colab Enterprise bills for runtime compute. Agent Platform Workbench pricing → Colab Enterprise pricing →

And on Azure?

Direct match Azure's equivalent is Azure Machine Learning studio & compute instances. AWS vs Azure comparison →

FAQ

What is the Google Cloud equivalent of Amazon SageMaker Studio?

SageMaker Studio maps to Agent Platform Workbench (managed JupyterLab) and Colab Enterprise (managed Colab notebooks).

How does pricing compare between Amazon SageMaker Studio and Agent Platform Workbench and Colab Enterprise?

AWS: Per-second billing for the instance backing each running app/space, plus storage. Google Cloud: Workbench bills for the underlying VM, accelerators, and disks while running. Colab Enterprise bills for runtime compute. Check the official pricing pages for current rates.

What is the Azure equivalent?

Azure Machine Learning studio & compute instances (direct match). Amazon SageMaker Studio maps to Azure Machine Learning studio with compute instances (JupyterLab and VS Code).

Related AWS vs GCP comparisons

Official sources