AWS vs Azure: Which One Fits Your Team

Both will run almost anything. The decision usually comes down to identity, licensing and what your team already knows — not to a feature checklist.

31 July 2026 3 min read

Feature-by-feature, AWS and Azure are close enough that a comparison table is nearly useless. Both run virtual machines, containers, managed databases, serverless functions and machine learning. Both have global regions and mature networking. The interesting differences are structural.

The honest short answer

If your organisation already runs Microsoft 365, Active Directory and Windows Server, Azure will be cheaper and faster to adopt. The identity integration and licensing benefit are real money.
If you are starting from nothing, hiring from a general developer pool, or your team already knows one platform, AWS has the deepest service catalogue and the largest body of documentation, tutorials and third-party tooling.
If the choice is genuinely open and cost is the deciding factor, price your specific workload on both. Headline instance prices are similar; the differences appear in licensing, egress and managed service premiums.

Identity is the biggest structural difference

AWS IAM is a cloud-native permission system. It is powerful, policy documents are precise, and it has no relationship with your corporate directory unless you build one through IAM Identity Center or a federation provider.

Azure is the opposite. Microsoft Entra ID *is* the corporate directory for a very large number of organisations, and Azure permissions are role assignments against identities that already exist there. If your staff already sign in to Microsoft 365, they already have an Azure identity.

That single fact removes an entire integration project for Microsoft-centric organisations, and adds one for everyone else.

Licensing economics

This is where a real cost gap opens. Azure Hybrid Benefit lets you apply Windows Server and SQL Server licences you already own to Azure VMs, and extended security updates for older Windows versions are available on Azure at terms not offered elsewhere.

If you run a significant Windows or SQL Server estate, this is frequently the deciding factor and not a small one. If you run Linux and open-source databases, it is irrelevant and the comparison moves elsewhere.

Service breadth and maturity

Area	AWS	Azure
Compute breadth	Widest instance catalogue	Broad, strong Windows story
Managed databases	Very broad, Aurora is a genuine differentiator	Azure SQL is excellent for SQL Server workloads
Serverless	Lambda is the most mature	Functions plus Container Apps, both solid
Kubernetes	EKS, capable but more assembly	AKS, generally considered easier to operate
Data warehouse	Redshift	Microsoft Fabric / Synapse
Hybrid	Outposts	Azure Arc and Azure Stack, more mature
Developer ecosystem	Largest by a distance	Strong, especially in enterprise IT

AWS generally has more services and released them earlier. Azure generally has better integration between its own services and with Microsoft software you already run.

How they bill

Both charge per second or per hour for compute, per gigabyte for storage, and per gigabyte for egress after a small free allowance. Both offer one- and three-year commitments — Reserved Instances and Savings Plans on AWS, Reservations and Savings Plans on Azure — with discounts of a similar order.

The practical difference is where surprises come from. On AWS it is usually NAT gateway charges, cross-AZ traffic and forgotten resources in unused regions. On Azure it is usually premium disk tiers, over-provisioned App Service plans and bandwidth between regions.

Choosing without agonising

List the software you must run. If Windows Server, SQL Server or Active Directory appear, put Azure ahead by default.
List what your team already knows. Retraining is the largest hidden cost in any platform decision.
Price your two largest workloads on both, including licensing, egress and any managed service you would use.
Check regional coverage against where your users actually are.
Pick one and commit. Running both without a specific reason multiplies operational effort for no benefit.

Common questions

Is one meaningfully cheaper than the other?

Not in general. For Windows and SQL Server workloads with existing licences, Azure is usually cheaper. For everything else, the difference is workload-specific and smaller than the saving from right-sizing and committing to a discount plan on either.

Which has better documentation?

AWS documentation is more voluminous and its community answers are easier to find. Microsoft Learn is better structured and better written, but covers fewer edge cases.

Can I run the same architecture on both?

Broadly yes, if you stay near the primitives — VMs, containers, object storage, managed Postgres. The moment you adopt Aurora, DynamoDB, Cosmos DB or a proprietary serverless pattern, portability drops sharply.

Which is better for machine learning?

Both are competent. Azure has the closer OpenAI relationship; AWS has Bedrock with a wider model selection and deeper infrastructure control. Neither leads decisively.

Where to go next

Read the individual platform guides for depth: what an AWS account gives you and Azure for people who did not come from Microsoft. Account configurations are on the AWS and Azure pages.

AWS Microsoft Azure