AWS vs GCP vs Azure

Amazon Web Services, Google Cloud Platform, and Microsoft Azure are the three dominant public cloud providers, collectively holding over 65% of the global cloud market. Choosing between them is one of the most consequential infrastructure decisions you will make.

Market Position and Strengths

AWS — The Broadest Catalog

AWS launched in 2006 and has the first-mover advantage. It offers over 200 services spanning compute, storage, databases, ML, IoT, and more. Most startups and a large share of enterprises default to AWS because of its mature ecosystem, extensive partner network, and deep talent pool.

GCP — Data and AI Powerhouse

Google Cloud leverages Google's internal infrastructure expertise. GKE is widely regarded as the best managed Kubernetes service. BigQuery redefined serverless data warehousing. Vertex AI and TPU access make it the top choice for ML workloads. Its network rides Google's private fiber backbone.

Azure — Enterprise Integration

Azure dominates in organizations already invested in the Microsoft ecosystem — Active Directory, Office 365, and .NET. Its hybrid cloud story with Azure Arc and Azure Stack is the strongest. Azure is the leading cloud for Fortune 500 companies.

Compute Comparison

All three offer virtual machines, containers, and serverless. AWS EC2 has the widest instance type selection. GCP Compute Engine offers custom machine types and per-second billing. Azure VMs integrate tightly with Windows Server workloads. For containers, GKE leads, followed by EKS and AKS.

Pricing and Cost Optimization

AWS pricing is complex — you need Reserved Instances, Savings Plans, and Spot Instances to optimize costs. GCP automatically applies sustained-use discounts and offers committed-use discounts. Azure mirrors AWS's reservation model but adds Hybrid Benefit for existing Windows/SQL licenses.

For a deeper understanding of cloud architecture patterns, explore our system design interview guide and cloud infrastructure concepts. Check our pricing page for access to detailed comparison worksheets.

The Bottom Line

Choose AWS for breadth of services and ecosystem maturity. Choose GCP for data, ML, and Kubernetes-centric workloads. Choose Azure for Microsoft-heavy enterprises and hybrid cloud. Many organizations adopt a multi-cloud strategy, using each provider for its strengths. Understanding these tradeoffs is critical for system design interviews.