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AWS vs Azure: Which Cloud Should You Choose?

Choosing between AWS and Azure is rarely about raw capability. Both offer virtual machines, managed Kubernetes, serverless functions, managed databases, data warehousing, AI services and global regions. The differences that matter show up in identity, licensing, existing skills, enterprise agreements and how each platform's managed services fit the way your team already works.

Quick verdict

AWS and Microsoft Azure are both mature, global cloud platforms that can run almost any workload. AWS offers the broadest catalog and a large third-party ecosystem, which suits cloud-native and startup teams. Azure integrates tightly with Microsoft 365, Entra ID, Windows Server and .NET, which often makes it the easier choice for Microsoft-centric enterprises and hybrid setups.

This comparison focuses on durable differences rather than service counts or list prices, which change constantly. If you already run on one provider, the switching cost usually outweighs small feature gaps, so the decision matters most for new products and major migrations.

AWS vs Microsoft Azure, side by side

CriterionAWSMicrosoft Azure
Core strengthBreadth of services and deep cloud-native toolingIntegration with the Microsoft enterprise stack
IdentityAWS IAM plus IAM Identity Center for workforce accessMicrosoft Entra ID, shared with Microsoft 365 and Windows
KubernetesAmazon EKSAzure Kubernetes Service (AKS)
ServerlessAWS Lambda, Step Functions, EventBridgeAzure Functions, Logic Apps, Event Grid
Data warehousingAmazon Redshift, Athena, AWS GlueMicrosoft Fabric and Azure Synapse Analytics
Generative AIAmazon Bedrock with multiple model providersMicrosoft Foundry, including Azure OpenAI models
Hybrid cloudAWS Outposts and EKS AnywhereAzure Arc and Azure Stack, strong hybrid story
LicensingBring your own license options for Windows and SQL ServerAzure Hybrid Benefit reuses existing Windows and SQL licenses
EcosystemVery large partner, tooling and community content baseStrong with Microsoft partners and enterprise IT teams
Learning curveMany services and options; console can feel fragmentedFamiliar for Microsoft admins; portal organizes by resource groups

Choose AWS when

  • You are building a new cloud-native product with no strong Microsoft dependency.
  • Your engineers already know AWS services and tooling.
  • You want the widest choice of managed services and third-party integrations.
  • You need specific AWS services such as DynamoDB, Lambda or Bedrock.
  • Your hiring market has more AWS-certified engineers.

Choose Microsoft Azure when

  • Your company runs Microsoft 365, Entra ID and Windows Server already.
  • Your applications are built on .NET and SQL Server.
  • You can reuse existing Microsoft licenses through Azure Hybrid Benefit.
  • You need strong hybrid management across on-premises and cloud with Azure Arc.
  • You have an existing Microsoft enterprise agreement with committed spend.

How do AWS and Azure pricing compare?

Both use pay-as-you-go pricing with discounts for commitment: AWS Savings Plans and Reserved Instances, Azure Reservations and Savings Plans. Spot or low-priority capacity is available on both. For equivalent compute and storage the list prices are usually close, so the real difference comes from licensing, enterprise discounts, egress patterns and how well you size resources.

Windows and SQL Server workloads are often cheaper on Azure when you already own licenses with Software Assurance. Linux-heavy, container-based workloads tend to cost about the same on either. The biggest savings come from FinOps discipline, not from picking a provider.

Which is better for enterprise and hybrid?

Azure's advantage in large enterprises is identity and familiarity. Entra ID already holds users and groups for Microsoft 365, so cloud access policies, conditional access and single sign-on fit into existing processes. Azure Arc extends policy and monitoring to servers and Kubernetes clusters running elsewhere, including other clouds.

AWS is equally capable for enterprises and is widely used in regulated industries. It tends to win where engineering teams lead the decision and want mature primitives, while Azure tends to win where central IT leads and Microsoft is already the strategic vendor. Nexzem builds and migrates workloads on both platforms.

Final verdict

Neither AWS nor Azure is objectively better. Choose AWS for new cloud-native builds, broad service choice and a large hiring pool of AWS engineers. Choose Azure when your organization already depends on Microsoft 365, Entra ID, .NET or SQL Server, or when license reuse and hybrid management through Azure Arc matter. Existing skills and agreements usually decide the outcome more than any single feature.

AWS vs Microsoft Azure: questions

Something else on your mind? Ask a consultant and get a reply within one business day.

Is AWS or Azure easier to learn?

It depends on background. Developers coming from Linux and open-source tooling often find AWS documentation and community content easier to work with. Windows administrators usually find Azure more familiar because of Entra ID, PowerShell and the portal's resource group model. Both offer free tiers and structured certification paths.

Is Azure cheaper than AWS?

Not in general. List prices for similar compute and storage are close. Azure can be cheaper for Windows Server and SQL Server workloads when you reuse existing licenses through Azure Hybrid Benefit. AWS can be cheaper when you use specific managed services efficiently. Model your actual workload on both calculators before deciding.

Can I use AWS and Azure together?

Yes. Many companies run a multi-cloud setup, for example Microsoft 365 and Entra ID on Azure with product workloads on AWS. It adds complexity in networking, identity federation, monitoring and skills, so use it when there is a clear reason, such as a specific service or a customer requirement.

Which cloud is better for AI projects?

Both are strong. Azure offers OpenAI and other providers' models through Microsoft Foundry with enterprise controls, which appeals to Microsoft-centric companies. AWS offers Amazon Bedrock with models from several providers plus SageMaker for custom training. The better choice depends on which models you need and where your data already lives.

Still deciding between AWS and Microsoft Azure?

Tell us about the product and the team. We will recommend a stack in a free consultation, and explain the trade-offs in plain language.