
Choosing between AWS and Azure
Most comparisons of AWS and Azure are feature tables, and feature tables are the least useful way to make this decision. Both platforms will run your workloads. Both have compute, storage, managed databases, networking, identity and a security stack. For the large majority of organisations, the technical capability is not the deciding factor.
What actually decides it is usually one of four things, and they have very little to do with which platform has more services.
What genuinely differs
Your existing identity and licensing position
If your organisation already runs on Microsoft identity (meaning your users, groups and conditional access policies live in Entra ID, and your device management sits alongside it), then Azure inherits that. Identity is the hardest thing to run twice, and running it once is a real advantage.
Existing Microsoft licensing can also change the arithmetic significantly, particularly for Windows Server and SQL Server workloads, where entitlements you already own may carry over. This is worth having someone check properly rather than estimating, because the difference can be large enough to decide the question on its own.
If your identity is not Microsoft-centred, this advantage mostly disappears.
What your team already knows
A team that has run one platform for years will be faster, safer and cheaper on that platform than on a technically superior one they have never used. Migration is not the hard part; operating it for the next five years is. The skills you have and the skills you can hire locally matter more than a feature comparison.
This cuts both ways and it is worth being honest about which way it cuts for you.
What your software vendors support
If a core application is certified on one platform and merely "should work" on the other, that decides it. Vendor support statements are unglamorous but they determine who helps you at two in the morning.
Check this early. It is the constraint most often discovered after a decision has already been announced.
Data residency and the specific services you need
Both platforms operate in India and both offer paired regions. Where they differ is in which specific services are available in which regions, and that changes over time. If you have a residency requirement, check availability for the exact services your design depends on, in the exact regions you are allowed to use.
Where it genuinely does not matter
A lot of the comparison energy goes into areas where the practical difference is small.
Core compute and storage. Virtual machines are virtual machines. Object storage is object storage. The naming differs, the pricing structures differ in detail, and the day-to-day experience of running a workload is broadly similar.
Managed relational databases. Both offer capable managed services for the common engines. Both remove roughly the same operational burden.
Reliability. Both are large, mature platforms. Both have had outages and will have more. Your availability will be determined far more by how you design and operate your workloads than by which platform they sit on.
Raw price. List prices differ per service and change often, and comparison is complicated by different commitment models and licensing treatment. Genuine cost differences between the two, for the same workload well-architected on each, tend to be smaller than the difference between a well-run and a badly-run estate on either.
The multi-cloud question
Running on both platforms deliberately is a defensible choice for a small number of organisations, usually because of an acquisition, a specific regulatory requirement, or a service that only exists on one side.
It is a poor default. Multi-cloud doubles the identity model, the network design, the monitoring, the cost management and the skills you need to keep current. The resilience argument is weaker than it appears, because genuine platform-independent failover requires avoiding the managed services that make each platform worth using.
Most organisations that describe themselves as multi-cloud are running one platform properly and one platform accidentally.
A practical way to decide
If you want a decision rather than a comparison, work through these in order and stop when one gives a clear answer:
- Is there a vendor support constraint? If a critical application is only supported on one, that is the answer.
- Is there a residency or compliance constraint that only one platform meets for the services you need? That is the answer.
- Is your identity already Microsoft, and is a meaningful share of your estate Windows and SQL Server? Azure is likely the lower-friction path, and the licensing position should be checked properly.
- Does your team have real depth on one platform? Go with it.
- If none of the above apply, either will work. Pick one, commit to it properly, and put the energy you would have spent comparing into operating it well.
That last point is the one that matters most. The gap between a well-run estate and a poorly-run one, on either platform, is far larger than the gap between the platforms.
What to do once you have chosen
Commit properly. Use the platform's managed services rather than running your own equivalents on virtual machines, because the operational saving is the main reason to be there. Build the skills deliberately rather than hoping they accumulate. And revisit the decision only if one of the four constraints above actually changes, not because a comparison article suggested you should.
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