AWS vs Azure: which cloud platform should you build on in 2026?

AWS is the larger platform with more services and a wider independent developer community. Azure is the stronger choice when your organisation already runs Microsoft infrastructure - the integration story is tighter and procurement is simpler. For most startups building on Linux stacks without existing Microsoft commitments, AWS is the right default. For enterprises already paying for Microsoft 365 and Active Directory, Azure often makes more financial and operational sense.

The real difference

AWS launched in 2006. It had a head start of five years before Azure existed, and that head start shows in breadth. AWS has over 200 services across compute, storage, database, networking, AI, IoT, and developer tooling. Azure is not far behind at 200+ services, but AWS's independent ecosystem - third-party tooling, tutorials, community libraries - is still larger.

The structural difference is who built each platform and why. AWS was built by Amazon for external developers. It was designed from the start as a product, not as an internal infrastructure tool. Azure was built by Microsoft partly to extend its existing enterprise relationships into cloud. That origin shapes everything from the UI to the billing to the compliance certifications. According to Gartner's worldwide IaaS market analysis, the global IaaS market grew 22.5% in 2024 to reach $171.8 billion, with AWS holding 37.7% share and Azure at 23.9% — a gap that reflects the head start, but also how quickly Azure has closed ground among enterprise buyers.

If your team is building a greenfield product with no Microsoft dependencies, AWS feels more natural. If your IT department already manages Azure Active Directory and Microsoft Intune, adding cloud workloads to Azure is significantly less friction.

AWS in practice

AWS is where the independent cloud community lives. If you Google a cloud architecture problem, the first five answers will reference AWS services. If you hire a DevOps engineer or cloud architect, they are more likely to know AWS than Azure. The 2024 Stack Overflow Developer Survey found AWS used by 49% of professional developers, compared to Azure at 26%.

The service catalog breadth is genuinely useful. AWS has purpose-built databases for almost every access pattern: DynamoDB for key-value, Aurora for relational, Neptune for graph, Timestream for time-series, ElastiCache for caching. Azure has equivalents, but the depth is sometimes shallower.

The learning curve for AWS is real. The console is large and can feel overwhelming. IAM (Identity and Access Management) is famously complex - managing roles, policies, and permissions correctly is a skill that takes time to develop. Teams that underestimate IAM complexity end up with security gaps or overly permissive access.

Networking on AWS (VPCs, subnets, security groups, NAT gateways) requires genuine infrastructure knowledge. This is not a criticism - it is accurate - and it means you either need a team member with cloud infrastructure expertise or a managed services provider.

Azure in practice

Azure's strongest selling point is Microsoft integration. If your organisation runs Active Directory, you get Azure AD (now Microsoft Entra ID) as a natural extension. Single sign-on across Office 365, Teams, and Azure resources is tight and consistent in a way that AWS can only approximate.

For Windows Server and SQL Server workloads, Azure's Hybrid Benefit licensing is a significant cost advantage. If your organisation owns Windows Server or SQL Server licenses with Software Assurance, those licenses can be applied to Azure VMs at a substantial discount - sometimes 40% cheaper than equivalent AWS instances.

Azure's developer experience has improved significantly in recent years. Visual Studio and VS Code integration is excellent. Azure DevOps (formerly VSTS) is a mature CI/CD platform. For .NET teams, Azure often feels like a natural extension of the tools they already use.

The weakness: Azure's service naming is less intuitive than AWS, and its documentation has historically been harder to navigate for developers who are not already Microsoft ecosystem natives. The Azure portal covers a lot of ground but can feel cluttered compared to AWS's console.

Side-by-side comparison

When to pick AWS

AWS is the right choice when:

• You are building a greenfield product with no existing Microsoft infrastructure dependencies.

• Your team is more likely to hire engineers who know AWS, which is most development markets.

• You need breadth of services, particularly in database options, AI services, or niche compute patterns.

• You want access to the largest independent cloud ecosystem for tooling, templates, and community support.

• You are a startup. The AWS Startup Program provides credits that can cover meaningful early-stage infrastructure costs.

If you are building a modern SaaS product on a Linux stack and your team has no strong Microsoft ties, AWS is the default.

When to pick Azure

Azure is the right choice when:

• Your organisation already runs Microsoft 365, Active Directory, or Windows Server.

• You have existing Microsoft enterprise agreements that include Azure credits or discounts.

• Your team builds primarily on .NET or Windows-based technology stacks.

• You operate in regulated industries (finance, government, healthcare) where your compliance team already has Microsoft certifications on file.

• You are using OpenAI models in production. Azure OpenAI Service gives enterprise teams access to GPT-4 and o-series models with private endpoints, regional deployment, and enterprise SLAs.

If your enterprise IT team manages your identity and access through Active Directory, layering Azure on top is measurably less painful than running AWS alongside an existing Microsoft infrastructure.

What we use at RaftLabs

We build on AWS for most of the products we ship. Our default stack is AWS Lambda, API Gateway, RDS (PostgreSQL), S3, and CloudFront for most web applications. For AI workloads, we use Bedrock for model access and SageMaker for custom model training when needed.

We have also worked on Azure for enterprise client projects, particularly for organisations running Microsoft Dynamics 365 and needing integration with Azure AD. In those cases, Azure was the right call - not because it's technically superior, but because the integration with existing infrastructure reduced weeks of identity and networking work.

Our general position: if you don't have a strong reason to use Azure, start with AWS. The talent pool, ecosystem breadth, and independent documentation make it easier to move fast in the early stages. If your enterprise already runs Microsoft infrastructure, do not fight the existing stack - Azure integration will save real time and real money.

Common mistakes teams make

Picking cloud based on pricing calculators alone. Cloud pricing calculators are notoriously inaccurate for estimating real monthly costs. Data transfer costs, API call costs, and storage retrieval costs are consistently underestimated. Run a real workload on both platforms and measure actual cost before making a long-term commitment.

Underestimating migration costs from one cloud to another. Once you are six months into a platform - with managed databases, object storage, CDN configuration, and IAM policies set up - migrating is a multi-month engineering project. Choose carefully early. The switching cost is always higher than it looks.

Ignoring the team's existing knowledge. The platform your team knows is worth 3-6 months of productivity. An AWS-fluent team forced onto Azure will be slower, make more mistakes, and spend more time reading documentation for the first year. If your team has strong AWS expertise, the burden of proof should be on any reason to switch.