Azure vs AWS for AI/ML/GenAI

Azure vs AWS for AI/ML/GenAI #

Feature Azure AWS
Market Share ~23% ~31% (still largest)
Enterprise Adoption Strong in healthcare, finance, gov (esp. with Microsoft 365/Teams/EHR ties) Strong with startups, research, media, big tech
AI/ML Tools Azure Machine Learning, OpenAI on Azure, Synapse, Cognitive Services SageMaker, Bedrock, Comprehend, Rekognition
GenAI Integration 🔥 Deep OpenAI partnership (GPT, Codex, DALL·E via Azure OpenAI Service) Bedrock (Anthropic, Stability, Cohere), Titan (Amazon’s own)
Ease of Use More integrated across MS ecosystem (Power BI, Excel, VS Code) More flexible but often messier to set up
Learning Curve Smoother onboarding if familiar with Microsoft tools More customizable, but steeper learning curve
Certifications Azure AI Engineer, Data Scientist, OpenAI Engineer (in preview) AWS ML Specialty, Solutions Architect, Bedrock tracks