The short answer
For most organisations the AWS versus Azure decision is settled by three factors, not by service comparison: where your identity already lives, whether you hold Microsoft licences that qualify for Azure Hybrid Benefit, and what your engineering team already knows. Feature parity between the two platforms is close enough that these usually dominate.
Key takeaways
- If identity and productivity sit with Microsoft, Azure usually wins on cost and time-to-productive
- Azure Hybrid Benefit can remove 30–40% of Windows and SQL compute cost
- Existing team experience is worth more than a marginal price difference
- Multi-cloud is a strategy for a very small number of organisations
Part of our guide to The AWS cost optimisation checklist we actually use.
The comparison table is the least useful artefact in this decision. Both platforms have compute, managed databases, object storage, Kubernetes and a serverless runtime, and for the overwhelming majority of workloads the differences are not decisive.
Start with identity
Where do your users authenticate today? If the answer is Entra ID — because you already run Microsoft 365 — then Azure gives you conditional access, Privileged Identity Management and a single directory with no federation layer to build and maintain. That is not a small convenience; identity integration is one of the most persistent sources of friction in a cloud estate.
If your identity sits with Okta, Google Workspace or something bespoke, this factor is neutral and you should weight the others more heavily.
Then licensing
Azure Hybrid Benefit lets you apply existing Windows Server and SQL Server licences with Software Assurance to Azure compute. On a Windows-heavy estate this commonly removes 30–40% of the compute line. There is no AWS equivalent of comparable value.
Verify entitlement before you rely on it — the benefit requires qualifying licences, and we have seen migrations planned around a discount the organisation was not actually eligible for.
Then your team
An engineering team with three years of AWS experience will be productive on AWS immediately and will spend six months becoming mediocre on Azure. That transition cost is real, it lands during your migration, and it is routinely larger than any pricing difference between the platforms.
The reverse holds equally. If your team is Microsoft-shop by background, Azure’s tooling will feel obvious to them and AWS will not.
Where the platforms genuinely differ
Having said all that, some differences do matter for specific workloads:
- Breadth of service catalogue — AWS still has more services and more mature versions of many. If you need something specific and unusual, check availability before committing.
- Data and AI tooling — Azure’s integration with the Microsoft data stack and its OpenAI service is compelling if you are building on those.
- Enterprise agreements — organisations with a large existing Microsoft commitment often get commercial terms on Azure that change the arithmetic entirely.
- Regional coverage — check both platforms have a region where your data must reside. This is decisive when it applies.
On multi-cloud
Multi-cloud is right for a small number of organisations: those with a genuine regulatory requirement for provider diversity, and those large enough to run separate competent platform teams per cloud. For everyone else it doubles the platform work, halves the depth of expertise, and forfeits the commitment discounts that come from concentrating spend.
Using one cloud for infrastructure and a specific SaaS from another vendor is not multi-cloud. That is just buying software.
How we would run the decision
Score the three primary factors — identity, licensing, team experience — before opening a pricing calculator. In our experience they settle it about 80% of the time. If they come out genuinely even, model 12-month total cost for your actual top five workloads on both platforms, including data transfer and support, and pick the cheaper one. Do not model a hypothetical workload; the answer will be wrong in an interesting but useless way.
