Azure
vs AWS
For organizations considering a move from Azure to AWS or evaluating both platforms, the architectural philosophies — Azure's enterprise-integrated approach versus AWS's service-breadth-first model — determine which platform better serves specific organizational profiles.
Side-by-Side Comparison
200+ services with strong integration into Microsoft ecosystem. Comprehensive for enterprise workloads. Some services feel like Microsoft on-premises products ported to cloud.
200+ services with the broadest independent service catalog. First-mover in many categories. More niche services (IoT, satellite, media, robotics). Services are purpose-built for cloud.
Virtual Machines, App Service, Azure Functions, Container Apps, AKS. Strong Windows workload support. Tight integration with .NET ecosystem. Azure Functions supports multiple languages.
EC2, Lambda, ECS, EKS, Fargate, App Runner. More granular instance type selection. Graviton processors for cost-effective ARM compute. Lambda has broader event source integrations.
Azure AD (Entra ID) — enterprise identity with SSO, conditional access, and deep Office 365 integration. RBAC at management group, subscription, resource group, and resource levels. Natural for Microsoft-centric organizations.
IAM with users, roles, and policies. Fine-grained service-level permissions. IAM Identity Center for SSO. More granular but more complex. No native integration with Microsoft identity stack.
Azure SQL (managed SQL Server), Cosmos DB (multi-model), PostgreSQL Flexible Server, MySQL Flexible Server. Cosmos DB's multi-region write and tunable consistency is unique.
RDS (managed relational), DynamoDB (key-value/document), Aurora (MySQL/PostgreSQL compatible), DocumentDB. DynamoDB's single-digit millisecond performance at any scale. Broader database engine options.
Azure DevOps (Boards, Repos, Pipelines, Artifacts). GitHub (Microsoft-owned) integration. Integrated project management and CI/CD in one platform. Azure Pipelines supports any language.
CodePipeline, CodeBuild, CodeDeploy — separate services composed together. Broader third-party CI/CD integration (GitHub Actions, GitLab, Jenkins). Less integrated but more flexible toolchain choice.
Broadest compliance certification portfolio. FedRAMP High, DoD IL5/IL6, HIPAA, SOC 1/2/3. Azure Government regions. Strong government and regulated industry positioning.
Comprehensive compliance certifications. FedRAMP High, GovCloud regions, HIPAA, SOC 1/2/3. AWS GovCloud is mature. Slightly fewer certifications than Azure in some niche regulatory domains.
60+ regions. Azure availability zones in most regions. Azure Front Door and CDN for global distribution. ExpressRoute for private connectivity. Strong presence in government and sovereign cloud regions.
30+ regions with more availability zones per region. CloudFront CDN with 400+ edge locations. Direct Connect for private connectivity. Broader edge compute options (Lambda@Edge, CloudFront Functions).
When AWS is the better choice over Azure
Choose AWS over Azure if the organization is not dependent on the Microsoft ecosystem and Azure AD integration is not a differentiator, workloads benefit from AWS's broader service catalog and more granular compute options (Graviton, specialized instance types), the team needs maximum flexibility in toolchain choice rather than an integrated Microsoft-centric stack, or edge computing and serverless workloads benefit from Lambda's broader event source ecosystem and CloudFront's global edge network.
Stay on Azure if Microsoft 365, Active Directory, and Dynamics 365 are foundational — Azure's native integration with these services eliminates complexity that AWS cannot match, the organization has Azure Enterprise Agreements with committed spend that makes migration financially impractical, compliance requirements favor Azure's broader certification portfolio in government or regulated industries, or .NET and SQL Server workloads benefit from Azure's first-party support.
The migration from Azure to AWS is primarily a people and process decision, not a technology one. Both platforms can run virtually any workload. The question is whether the organization's skills, contracts, and existing integrations make AWS more productive than Azure for the specific workload mix.
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