InnoveevTechnologiesMicrosoft Azure
Technology · Cloud

Microsoft Azure

The enterprise cloud — where Active Directory, .NET and Microsoft 365 already live, and where regulated industries feel at home.

Made by
Microsoft
Launched
2010
Known for
Enterprise & Microsoft integration
In our stack since
2021
In plain English

What it is, and why we use it.

Microsoft Azure is the second-largest cloud and the natural one for organisations already invested in Microsoft: it ties into Active Directory for identity, runs .NET workloads first-class, and integrates tightly with Microsoft 365. It also fronts Azure OpenAI, the enterprise-compliant route to GPT models, and has deep reach into regulated and hybrid on-prem scenarios.

We deploy on Azure when the client's organisation already runs on it — single sign-on through their existing Active Directory, compliance boundaries their security team already trusts, and Azure OpenAI when GPT must run under an enterprise agreement. Meeting clients on their home cloud removes weeks of procurement friction.

Key differences

Microsoft Azure vs AWS vs Google Cloud.

Azure against the two clouds it's most often weighed against — its edge is the Microsoft estate most large enterprises already run.

DimensionMicrosoft AzureAWSGoogle Cloud
Made byMicrosoftAmazonGoogle
Strongest atEnterprise, identity, hybrid, .NETBreadth & maturityData & ML
IdentityActive Directory — the enterprise standardIAMCloud Identity
AI storyAzure OpenAI — compliant GPT accessBedrock (multi-model)Vertex AI + Gemini
Best fitMicrosoft 365 / .NET organisationsAlmost anyoneData-driven products
Hybrid / on-premStrongest (Azure Arc, Stack)Good (Outposts)Good (Anthos)

Azure wins when

  • The client runs Microsoft 365, Active Directory and .NET
  • Compliance, government or regulated industry is in play
  • Hybrid on-prem + cloud is a hard requirement

AWS wins when

  • You want the broadest, most-supported default
  • Hiring and ecosystem depth decide it
  • No existing cloud commitment pulls otherwise

Google Cloud wins when

  • Analytics and ML are the product's core
  • Managed Kubernetes quality matters most
  • Gemini / Vertex AI fit the AI plan
Our take

Azure earns its place by meeting enterprises where they already are. We don't push it as a greenfield default — but when a client's identity, tooling and compliance all live in the Microsoft world, fighting that costs more than it returns.

Thinking about Microsoft Azure?

Tell us what you're building — we'll tell you honestly whether Microsoft Azure is the right tool for it.