AWS vs Azure: How to Choose for Your Business

For most businesses, the honest answer is that either AWS or Azure will do the job, so the choice rests on what you already run, who will operate it and what your applications need. If your company lives in Microsoft 365, Windows Server and .NET, Azure usually has the shorter path. If you are building new, cloud-native software on Linux and open-source tooling, or you want the widest catalogue of services, AWS is a natural fit. Neither choice is a mistake, and neither is permanent if you design with some care.

This article walks through the questions that actually separate the two, a simple scoring method you can run in an afternoon, and the mistakes we see businesses make when they treat the decision as a beauty contest. We deliberately leave out price comparisons: both providers publish calculators, and the numbers depend entirely on your workload, region and commitment level.

What AWS and Azure have in common

It helps to start with the overlap, because it is larger than the marketing suggests. Both are hyperscale public clouds. Both rent you virtual machines, managed databases, object storage, queues, container platforms, serverless functions and identity services. Both operate data-centre regions in Ireland, which matters if you want customer data to stay in the EU. Both publish detailed documentation, shared-responsibility guidance and compliance reports through their own portals.

Almost every concept maps across: a virtual machine is an EC2 instance on AWS and a virtual machine on Azure; object storage is S3 or Blob Storage; a managed Kubernetes cluster is EKS or AKS; serverless functions are Lambda or Azure Functions. If your team understands the idea, moving between providers is mostly a vocabulary exercise. The real lock-in comes from the managed services you adopt later, not from the first virtual machine.

Where they genuinely differ

Breadth versus integration

AWS was first to market and has the broadest catalogue of services, which is useful when you need something unusual. Azure's strongest argument is integration with the Microsoft estate: Microsoft Entra ID (the identity service formerly called Azure Active Directory), Microsoft 365, Windows Server, SQL Server and Active Directory-based environments connect to Azure with comparatively little friction. If your staff already sign in with Microsoft accounts and your line-of-business apps are .NET, that continuity is worth a lot.

Licensing for Microsoft workloads

Azure offers licensing benefits for organisations that already own Windows Server and SQL Server licences, and you should check what applies to your agreement. AWS also runs Windows and SQL Server workloads perfectly well, but the licensing conversation is different. Because the details change and depend on your contract, we recommend asking your Microsoft licensing partner for a written answer rather than assuming.

Developer and platform experience

AWS has a very large ecosystem of third-party tutorials, community modules and engineers who know it. Azure has strong tooling for teams that live in Visual Studio, Azure DevOps or GitHub, plus a portal that many administrators find approachable. Both support Terraform, Docker, Kubernetes and the main CI/CD tools, so the tooling you choose is rarely the deciding factor.

Hybrid and on-premises

If part of your estate must stay in your own premises or a colocation facility, check each provider's hybrid options early. Azure has long positioned itself around hybrid scenarios with on-premises Windows environments, and AWS offers its own hybrid and edge services. The right answer depends on what you must keep local and why.

A quick comparison table

Question	Leans AWS	Leans Azure
Main workloads	Linux, open source, cloud-native services	Windows Server, SQL Server, .NET
Identity	Mixed or Google-based sign-in	Staff already on Microsoft 365 and Entra ID
Service variety needed	Wide range of specialised services	Core services plus Microsoft integrations
Existing skills	Team has AWS certifications or experience	Team is Microsoft-centred
Licensing	Few Microsoft licences to reuse	Existing Microsoft agreement to leverage
Hybrid needs	Mostly cloud-only	Significant on-premises Windows estate

Treat the table as a starting hypothesis, not a verdict. A Microsoft-heavy company can run happily on AWS, and a Linux shop can run well on Azure.

A five-step way to decide

1. List your workloads. Write down every application, database and integration, with its operating system, runtime and dependencies. Include the awkward legacy ones.
2. Record what you already own. Microsoft agreements, existing identity systems, support contracts and any committed spend with either vendor.
3. Audit your skills. Who on your team, or at your IT partner, has operated each platform in production? Experience reduces risk more than any feature list.
4. Check compliance and data location. Confirm that the regions and services you need are available in the EU, and read each provider's compliance documentation. For legal questions about GDPR, speak to a qualified adviser.
5. Run a small proof of concept. Deploy one real, low-risk workload on your leading choice, with monitoring and a deployment pipeline. Judge by how it feels to operate, not by slides.

Is multi-cloud the answer?

Many businesses ask whether they should use both to avoid lock-in. For most small and mid-sized organisations, the answer is not at the start. Running two clouds doubles the skills you need, the security surface you must govern and the places where costs can leak. A more practical approach is to pick one primary cloud, keep your application code portable using containers and your infrastructure described in code, and make a conscious decision before adopting highly proprietary services. There are good reasons for multi-cloud, such as an acquisition that brings a second environment or a customer who mandates a specific provider, but avoiding lock-in on its own is rarely worth the overhead.

Portability is a spectrum. Containers, standard databases such as PostgreSQL and Terraform-style infrastructure definitions keep your options open. Proprietary serverless workflows and provider-specific data services trade portability for speed and lower operational effort. That can be a good trade, as long as you make it deliberately. Our articles on Docker for business teams and Terraform basics cover the two techniques that preserve the most flexibility.

Common mistakes when choosing a cloud

• Choosing on a price comparison alone. List prices are only one input. Architecture, right-sizing, commitments and operational habits move the bill far more than the logo on the invoice. See where cloud money usually goes.
• Ignoring the team. The best platform on paper is the wrong one if nobody on your side can run it safely.
• Treating the first choice as irreversible. It is not. It is simply more expensive to change later if everything is hand-built in a console.
• Building by clicking. Resources created manually in a web console are hard to reproduce and review. Define them in code from day one.
• Skipping the security model. Both providers operate on a shared responsibility model, and misreading it is a common source of incidents. See our guide to the shared responsibility model.
• Lifting and shifting without a plan. Moving servers unchanged often moves the problems too. Decide which workloads to rehost, which to modernise and which to retire.

Questions to put to any consultant or vendor

• Which workloads would you move first, and why those?
• How will we reproduce this environment if it is deleted tomorrow?
• How will we know about a failure before our customers do?
• What is the recovery plan, and has it been tested?
• If we leave this provider in three years, what would it take?

Good answers are specific. Vague reassurance is a warning sign, whichever provider is being recommended.

Summary

Pick the cloud that fits your applications, identity setup, licences and the skills you can actually access, prove it with a small pilot, and keep your code and infrastructure portable so the decision stays reversible. If you would like an experienced second opinion, CloudWiss's cloud and DevOps services cover architecture, migration and automation on both AWS and Azure, and we can help you test the decision against your real workloads before you commit.