Amazon Web Services vs Microsoft Azure
Amazon Web Services and Microsoft Azure are both evaluated in the CIOPages Cloud Infrastructure & IaaS Buyer's Guide. The guide groups Amazon Web Services under Broadest Portfolio and Microsoft Azure under Enterprise Integration.
| Attribute | Amazon Web Services (AWS) | Microsoft Azure |
|---|---|---|
| Approach | Broadest Portfolio | Enterprise Integration |
| Best for | Enterprises that want the widest service catalog, the deepest ecosystem, and a primary cloud they can build almost anything on | Microsoft-aligned organizations and those needing strong hybrid cloud, identity integration, and enterprise-license-driven commercial terms |
From the Cloud Infrastructure & IaaS Buyer's Guide, updated June 2026. 7 vendors evaluated.
Amazon Web Services (AWS)
The default safe choice when breadth and ecosystem depth are paramount: well over 200 services, the deepest enterprise adoption, the largest partner and marketplace ecosystem, and the most mature operational tooling, with a custom-silicon program that is a genuine differentiator — Graviton ARM CPUs, now fifth-generation, for price-performance, and Trainium and Inferentia for AI training and inference at scale alongside Nvidia GPUs. Pricing is famously complex and the console fragments across services, with per-GB egress and a support tier priced as a percentage of spend the two places bills surprise teams. Proprietary-service depth maximizes lock-in, and the AI and ML stack, powerful as it is, is less tightly integrated than Google’s.
Microsoft Azure
The natural choice for a Microsoft-centric estate, and the commercial terms are as much of the case as the technology: deep Microsoft 365, Entra, and Dynamics integration, strong hybrid through Azure Arc, enterprise-agreement leverage that bundles cloud into existing licensing, a strong position in commercial generative AI via the OpenAI partnership and Azure AI Foundry, Cobalt and Maia silicon coming online, and enterprise-wide MACC commitments that can unlock aggressive discounting. Reliability and some service maturity have historically trailed AWS, and the console is inconsistent across services. Pricing is entangled with complex EA and MACC terms, hybrid-benefit credits, and consumption commitments — real leverage, but hard to model cleanly and easy to over-commit.
Also evaluated in this guide
Alibaba Cloud, DigitalOcean, Google Cloud Platform (GCP), IBM Cloud, Oracle Cloud Infrastructure (OCI)
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