AWS, Microsoft Azure, and Google Cloud Platform each serve different strengths. AWS leads in breadth of services and global reach; Azure is the natural choice for Microsoft-heavy enterprises; GCP excels in data analytics, Kubernetes, and AI/ML. This guide helps you evaluate which provider fits your needs.
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Executive Overview Comparison
| Dimension | AWS | Azure | Google Cloud (GCP) |
|---|---|---|---|
| Market Share (2025) | ~31% | ~25% | ~12% |
| Global Regions | 33 regions, 105 AZs | 60+ regions | 40+ regions |
| Strongest Domain | Breadth, IaaS/PaaS maturity | Enterprise, Microsoft integration | AI/ML, Data Analytics, Kubernetes |
| Free Tier Duration | 12 months (select services) | 12 months + always-free | Always-free tier |
| Primary Licensing Advantage | Independent (no monopoly) | Azure Hybrid Benefit (Windows/SQL) | GCP Committed Use Discounts |
| Enterprise Identity | AWS IAM + SSO | Azure Active Directory (Entra ID) | Google Workspace + Cloud Identity |
| Best for Startups | Good - broad ecosystem | Good - credits programme | Excellent - GCP Startup program |
| Managed Kubernetes | EKS (strong but complex) | AKS (easiest setup) | GKE (most mature, invented K8s) |
Market Share (2025)
- AWS
- ~31%
- Azure
- ~25%
- Google Cloud (GCP)
- ~12%
Global Regions
- AWS
- 33 regions, 105 AZs
- Azure
- 60+ regions
- Google Cloud (GCP)
- 40+ regions
Strongest Domain
- AWS
- Breadth, IaaS/PaaS maturity
- Azure
- Enterprise, Microsoft integration
- Google Cloud (GCP)
- AI/ML, Data Analytics, Kubernetes
Free Tier Duration
- AWS
- 12 months (select services)
- Azure
- 12 months + always-free
- Google Cloud (GCP)
- Always-free tier
Primary Licensing Advantage
- AWS
- Independent (no monopoly)
- Azure
- Azure Hybrid Benefit (Windows/SQL)
- Google Cloud (GCP)
- GCP Committed Use Discounts
Enterprise Identity
- AWS
- AWS IAM + SSO
- Azure
- Azure Active Directory (Entra ID)
- Google Cloud (GCP)
- Google Workspace + Cloud Identity
Best for Startups
- AWS
- Good - broad ecosystem
- Azure
- Good - credits programme
- Google Cloud (GCP)
- Excellent - GCP Startup program
Managed Kubernetes
- AWS
- EKS (strong but complex)
- Azure
- AKS (easiest setup)
- Google Cloud (GCP)
- GKE (most mature, invented K8s)
Compute Services Comparison
| Service Type | AWS | Azure | GCP |
|---|---|---|---|
| Virtual Machines | EC2 (widest selection) | Azure VMs | Compute Engine |
| Container as a Service | ECS + Fargate | ACI (Azure Container Instances) | Cloud Run |
| Managed Kubernetes | EKS | AKS | GKE |
| Serverless Functions | Lambda | Azure Functions | Cloud Functions |
| App Platform (PaaS) | Elastic Beanstalk | Azure App Service | App Engine |
| HPC / GPUs | P4d/P3/P5 instances | ND/NC series | A2 (A100), H3 (H100) VMs |
| Spot/Preemptible | Spot Instances (up to 90% off) | Azure Spot VMs (up to 90% off) | Preemptible VMs (up to 80% off) |
Virtual Machines
- AWS
- EC2 (widest selection)
- Azure
- Azure VMs
- GCP
- Compute Engine
Container as a Service
- AWS
- ECS + Fargate
- Azure
- ACI (Azure Container Instances)
- GCP
- Cloud Run
Managed Kubernetes
- AWS
- EKS
- Azure
- AKS
- GCP
- GKE
Serverless Functions
- AWS
- Lambda
- Azure
- Azure Functions
- GCP
- Cloud Functions
App Platform (PaaS)
- AWS
- Elastic Beanstalk
- Azure
- Azure App Service
- GCP
- App Engine
HPC / GPUs
- AWS
- P4d/P3/P5 instances
- Azure
- ND/NC series
- GCP
- A2 (A100), H3 (H100) VMs
Spot/Preemptible
- AWS
- Spot Instances (up to 90% off)
- Azure
- Azure Spot VMs (up to 90% off)
- GCP
- Preemptible VMs (up to 80% off)
AI / ML Services Comparison
| Capability | AWS | Azure | GCP |
|---|---|---|---|
| ML Platform | SageMaker | Azure ML | Vertex AI |
| Foundation Models / GenAI | Amazon Bedrock (Anthropic, Llama) | Azure OpenAI Service (GPT-4) | Vertex AI (Gemini, PaLM) |
| Vision AI | Rekognition | Azure Computer Vision | Cloud Vision API |
| NLP/Speech | Comprehend, Transcribe, Polly | Azure AI Language + Speech | Natural Language API, Speech-to-Text |
| AutoML | SageMaker Autopilot | Azure AutoML | Vertex AI AutoML |
| AI-assisted dev (IDE) | Amazon Q Code Companion | GitHub Copilot (Azure-hosted) | Gemini Code Assist |
ML Platform
- AWS
- SageMaker
- Azure
- Azure ML
- GCP
- Vertex AI
Foundation Models / GenAI
- AWS
- Amazon Bedrock (Anthropic, Llama)
- Azure
- Azure OpenAI Service (GPT-4)
- GCP
- Vertex AI (Gemini, PaLM)
Vision AI
- AWS
- Rekognition
- Azure
- Azure Computer Vision
- GCP
- Cloud Vision API
NLP/Speech
- AWS
- Comprehend, Transcribe, Polly
- Azure
- Azure AI Language + Speech
- GCP
- Natural Language API, Speech-to-Text
AutoML
- AWS
- SageMaker Autopilot
- Azure
- Azure AutoML
- GCP
- Vertex AI AutoML
AI-assisted dev (IDE)
- AWS
- Amazon Q Code Companion
- Azure
- GitHub Copilot (Azure-hosted)
- GCP
- Gemini Code Assist
GCP has a genuine AI/ML edge
Google invented the Transformer architecture, contributes Kubernetes, TensorFlow, and operates Google DeepMind. For cutting-edge ML workloads and data pipelines, GCP (especially BigQuery + Vertex AI) is a strong first choice.
Decision Framework - Which Provider to Choose
- 1
Heavy Microsoft shop (O365, Active Directory, .NET)
Choose Azure. Azure Hybrid Benefit on Windows Server and SQL Server licences alone can save 40–60% vs equivalent AWS/GCP. Azure AD (Entra ID) integrates directly with M365 with zero extra configuration.
- 2
Greenfield startup or cloud-native build
AWS offers the broadest ecosystem and largest talent pool. Lambda, DynamoDB, SQS/SNS, and API Gateway give you a mature serverless stack. Most SaaS tools have native AWS integrations.
- 3
Data analytics, ML, or AI-first workloads
GCP wins on BigQuery (serverless data warehouse), Dataflow, Pub/Sub, and Vertex AI. BigQuery ML lets you run ML directly on your warehouse data without data movement.
- 4
Multi-cloud or cloud-agnostic Kubernetes workloads
GKE is the most feature-complete managed Kubernetes service (GCP invented Kubernetes). Anthos enables multi-cloud K8s management across AWS, Azure, and GCP.
- 5
Regulated industry (financial services, healthcare, government)
All three major providers have extensive compliance certifications. AWS GovCloud and Azure Government offer dedicated regions for US government workloads. UK: check NHS DSPT alignment and FCA guidance.
What’s next?