Microsoft Foundry (formerly Azure AI Studio) vs Amazon SageMaker AI

Microsoft Foundry (formerly Azure AI Studio) and Amazon SageMaker AI are both AI Infrastructure & Deployment tools (Cloud AI Platforms). Below: what each costs, what it does well, its biggest catches, and who should pick which, all from public sources rather than our own testing.

Renamed: Azure AI Studio was renamed Azure AI Foundry, and is now Microsoft Foundry. Sources: [1]

Renamed: AWS renamed the original SageMaker to Amazon SageMaker AI in December 2024. SageMaker Unified Studio is the broader data and AI environment. Sources: [1]

Side by side

Microsoft Foundry (formerly Azure AI Studio) RenamedAmazon SageMaker AI Renamed
CategoryEnterprise AI Platforms · AI Development SuiteEnterprise AI Platforms · Cloud ML Platform
PricingConsumption-based. The platform is free, services are billed separately. (checked Oct 11, 2026)Pay-as-you-go per AWS service. Free Tier for new accounts. (checked Oct 11, 2026)
Pros
  • Microsoft's managed platform for building and deploying AI apps and agents
  • Free to explore, pay only for the services you use
  • Enterprise security and compliance on Azure
  • AWS's full ML platform for training, tuning and deployment
  • Unified Studio has no separate charge. You pay for the underlying services
  • Free Tier includes 250 hours of ml.t3.medium notebooks for two months
Catches
  • Renamed twice (Azure AI Studio, then Azure AI Foundry, then Microsoft Foundry), so docs and tutorials are confusing
  • Costs spread across tokens, compute/PTUs, storage, fine-tuning and connectors
  • Provisioned throughput is billed hourly whether you use it or not
  • Renamed SageMaker AI in Dec 2024, with SageMaker Unified Studio alongside it, so naming is confusing
  • Pay-per-service pricing is complex to estimate
  • Steep learning curve outside the AWS ecosystem
Best forEnterprises already on Azure.ML teams already on AWS.
Skip it ifYou want simple, flat pricing.You're a solo builder wanting a simple hosted API.

Which should you pick?

Pick Microsoft Foundry (formerly Azure AI Studio) if…

you fit this: enterprises already on Azure.

But not if: you want simple, flat pricing.

Watch out for: Renamed twice (Azure AI Studio, then Azure AI Foundry, then Microsoft Foundry), so docs and tutorials are confusing.

Pick Amazon SageMaker AI if…

you fit this: ML teams already on AWS.

But not if: you're a solo builder wanting a simple hosted API.

Watch out for: Renamed SageMaker AI in Dec 2024, with SageMaker Unified Studio alongside it, so naming is confusing.

More options

Sources

Microsoft Foundry (formerly Azure AI Studio)

Amazon SageMaker AI

Pros, catches and prices are compiled from public sources (official pricing and docs pages, published reviews, user reports), not hands-on testing. Prices change often, so check the vendor page before you buy.