AWS (Amazon) vs Azure / GCP
Side-by-side comparison, when-to-use-each guide, and instant conversion. Reviewed for 2026.
Greenfield cloud projects, startup defaults, broadest ecosystem needs.
Azure: Microsoft/.NET shops. GCP: data engineering, Kubernetes, ML workloads.
| Aspect | AWS (Amazon) | Azure / GCP |
|---|---|---|
| Market share (2026) | ~32% | Azure ~23% / GCP ~12% |
| Best for | General purpose | Azure: Windows/M365. GCP: data/ML |
| Kubernetes | EKS (managed) | AKS / GKE (K8s origin) |
| Pricing | Complex | Azure: Enterprise agreements / GCP: committed discounts |
| Certifications | AWS CCP, SAA, SAP | AZ-900, AZ-104 / GCP ACE, PCE |
Frequently asked
Which cloud should a startup use?
AWS by default unless your stack is strongly Microsoft (→ Azure) or data/ML (→ GCP). The developer ecosystem, documentation, and community around AWS are the largest. Free tier limits on all three are broadly similar.
Is multi-cloud worth the complexity?
For most companies, no. Multi-cloud adds significant operational complexity and cost. It makes sense for compliance (data sovereignty), avoiding vendor lock-in on critical services, or specific capabilities that only one provider offers. Otherwise, go deep with one.
Frequently asked questions
Which cloud should a startup use?
AWS by default unless your stack is strongly Microsoft (→ Azure) or data/ML (→ GCP). The developer ecosystem, documentation, and community around AWS are the largest. Free tier limits on all three are broadly similar.
Is multi-cloud worth the complexity?
For most companies, no. Multi-cloud adds significant operational complexity and cost. It makes sense for compliance (data sovereignty), avoiding vendor lock-in on critical services, or specific capabilities that only one provider offers. Otherwise, go deep with one.