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KNOWLEDGE BASE

Microsoft Azure, Amazon AWS, or Google Cloud?

The General Position of the Three Major Cloud Providers

AWS is the leading provider with the broadest service portfolio and market share. Microsoft Azure offers strong integration especially for enterprise companies using the Microsoft ecosystem (Windows Server, .NET, Active Directory). Google Cloud stands out for its technical edge in data analytics, machine learning, and Kubernetes.

Criteria to Evaluate in Provider Selection

  • Compatibility with existing technology stack (e.g., Azure advantage for .NET projects)
  • Pricing model and cost predictability
  • Geographic data center location (proximity to Turkey/Europe and latency)
  • Managed service maturity and variety
  • The team's existing experience and certification background

When Does a Multi-Cloud Strategy Make Sense?

Dependency on a single cloud provider (vendor lock-in) can lead to flexibility loss long-term. In large-scale enterprise systems, a multi-cloud strategy distributing critical services across multiple providers reduces risk; but this approach also increases operational complexity and is usually only cost-effective for large-scale organizations.

FREQUENTLY ASKED QUESTIONS

Cost varies greatly by use case; all three providers offer different price advantages on different services, so a cost comparison should be done for the specific use case.

AWS is generally the easiest starting point for small teams thanks to its broadest free tier and documentation support.

For enterprise companies using existing Microsoft infrastructure (Active Directory, Office 365, .NET), Azure offers natural, seamless integration.

Google Cloud stands out in data-intensive and container-based projects thanks to data analytics tools like BigQuery and the most mature managed Kubernetes service (GKE).

It's possible but costly; this is why choosing the right provider at the start is the best way to avoid an expensive migration process later.

Key Takeaways

  • AWS is strong in broadest service portfolio, Azure in Microsoft ecosystem integration, Google Cloud in data analytics and Kubernetes.
  • Provider choice should be based on existing technology stack, cost, data center location, and team experience.
  • Vendor lock-in risk can justify a multi-cloud strategy in large-scale organizations.
  • Since switching cloud providers is costly, making the right choice at the start is critically important.
Content Owner: Projx Digital
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