Soft Computers
The Cloud Wars Continue
After years of helping businesses migrate to the cloud, we've developed strong opinions about when to use each platform. Here's our honest take.
Quick Comparison
| Feature | AWS | Azure | GCP |
|---|---|---|---|
| Market Share | 32% | 23% | 11% |
| Best For | Enterprise, Startups | Microsoft Shops | AI/ML, Data |
| Learning Curve | Steep | Moderate | Moderate |
| Pricing | Complex | Complex | Simpler |
Amazon Web Services (AWS)
Strengths
- Most mature ecosystem: 200+ services for virtually any use case
- Global infrastructure: 33 regions, 105 availability zones
- Startup friendly: Generous free tier and startup credits
- Innovation leader: First to market with most services
Weaknesses
- Overwhelming number of choices
- Complex pricing that requires expertise
- Support costs can be high
Best For
Startups seeking scalability, enterprises needing specific services, companies building complex architectures.
Microsoft Azure
Strengths
- Microsoft integration: Seamless with M365, Dynamics, Windows Server
- Hybrid cloud leader: Best Azure Arc and Azure Stack options
- Enterprise agreements: Leverage existing Microsoft licensing
- AI Copilot integration: Built into every service
Weaknesses
- Some services feel like afterthoughts
- Portal can be confusing
- Documentation gaps
Best For
Microsoft-centric organizations, enterprises with existing EA agreements, hybrid cloud needs.
Google Cloud Platform (GCP)
Strengths
- AI/ML leadership: Best-in-class Vertex AI and BigQuery
- Data analytics: Unmatched for large-scale data processing
- Container expertise: Kubernetes was born here
- Network performance: Google's global network
Weaknesses
- Smaller service catalog
- Fewer enterprise features
- Smaller partner ecosystem
Best For
Data-driven companies, AI/ML workloads, containerized applications.
Our Recommendation
For most SMBs, we recommend:
- Microsoft shops: Azure (especially with M365)
- Startups: AWS (credits, scalability, ecosystem)
- Data companies: GCP (analytics, AI/ML)
The Multi-Cloud Reality
Increasingly, our clients use multiple clouds:
- Azure for productivity (M365)
- AWS for production workloads
- GCP for analytics
This approach maximizes strengths while avoiding vendor lock-in.
Ready to migrate to the cloud? A free assessment is the easiest way to start the conversation.