AWS vs Azure: Which Cloud Account Fits Your Workload?

AWS is the broadest service catalogue in the industry. Azure is the cloud that already speaks your organisation’s language if it runs Microsoft. This page puts the two side by side — the live configurations and prices from our catalogue, then the differences that actually decide the choice.

Live catalogue comparison
In our catalogue AWS Azure
Product Buy AWS Account Buy Azure Account
Configurations in stock 30 6
Lowest price $20 $25
Highest price $6,500 $2,250
Example options 5 VCPU / US IP · 5 VCPU / 1 Month Old / US / High Quality · 5 VCPU / 8 Months Old / UK / High Quality Pay As Direct / Spain · Free Trial $200 · Trial $200
View options View options

Prices and configuration counts are read from the live catalogue. Specifications are listed exactly as supplied; nothing here is estimated.

Both are hyperscalers, so the question is ecosystem fit

AWS and Azure will both run essentially any workload, and both meter it the same way. Capability is not the deciding factor — the deciding factor is which platform’s centre of gravity matches what you are building.

AWS is strongest at: AI and machine learning workloads on Bedrock, large multi-account organisations, and anything needing a managed service that only AWS offers.

Azure is strongest at: Windows workloads, enterprise identity, hybrid estates, and Azure OpenAI Service.

Picking the one whose defaults already match your architecture means less configuration, cheaper support and a larger pool of people who have solved your problem before.

Where AWS is the stronger choice

Breadth. Whatever the problem is, AWS has a managed service for it, a large body of documentation, and the deepest pool of engineers who have already solved it.

Best suited to: teams who intend to consume managed services — queues, managed databases, serverless, identity — rather than just run servers.

Regions: The widest global region footprint, including multiple regions per continent, so latency and data-residency requirements can almost always be met.

Worth knowing: Data transfer out is the line item that surprises people; on-demand list price is the worst price AWS offers, so committed-use discounts matter once the baseline is stable.

Where Azure is the stronger choice

Integration. Identity is one system rather than two, licensing arrangements are favourable for existing Microsoft customers, and the hybrid story is the strongest of the major platforms.

Best suited to: organisations already invested in Active Directory, Microsoft 365 and Windows Server, and anyone with a genuine hybrid requirement.

Regions: A very wide region footprint, including many sovereign and government regions that the other platforms do not match.

Worth knowing: The decisive advantages are commercial and organisational rather than technical — if the organisation is not Microsoft-centric, most of them do not apply.

The trade-offs, stated plainly

AWS: That breadth is also the cost: several services often solve the same problem with different pricing models, IAM is powerful and unforgiving, and networking is explicit in a way that is a virtue at scale and a tax on a small project.

Azure: Outside the Microsoft ecosystem the technical case is far more even, and the portal’s information architecture is an acquired taste.

How to choose between them

  • Choose AWS if your workload is AI and machine learning workloads on Bedrock, large multi-account organisations, and anything needing a managed service that only AWS offers
  • Choose Azure if your workload is Windows workloads, enterprise identity, hybrid estates, and Azure OpenAI Service
  • Choose neither if the shape of the work does not match either — the full catalogue has eight other platforms, and the comparison tool will hold four of them side by side.

Related reading

Questions

Common questions about this comparison

Is AWS cheaper than Azure?

The prices in the table above are the live catalogue prices for the accounts we stock, so you can compare those directly. Running cost is a separate question and depends on the billing model: AWS bills per unit consumed and Azure bills per unit consumed, which means the cheaper account is not always the cheaper month.

Can I run the same workload on both?

For ordinary Linux servers, databases and web applications, yes. The divergence starts when you adopt a platform's proprietary managed services — a specific queue, function runtime or identity model — because those are what make a migration expensive later.

Which one is better for AI and machine learning workloads on Bedrock?

That is AWS's stated strength, so it is the natural starting point. It is still worth checking region availability and the billing model against your own constraints before committing.

What do I actually get when I buy an account here?

The configuration named on the product page and nothing beyond it — the vCPU figure, region, account age or credit exactly as listed. Both product pages set out every option in stock with its own price.

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