AWS vs Azure vs Google Cloud - Cloud Platform Comparison 2026
In-depth comparison of Amazon AWS, Microsoft Azure, and Google Cloud Platform. Compare services, pricing, market share, and which cloud provider is best for your needs.
Overview
The cloud computing market in 2026 is dominated by three hyperscalers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Together they control over 65% of the global cloud market. Each has distinct strengths — AWS leads in breadth, Azure in enterprise integration, and Google Cloud in AI/ML and data analytics.
Quick Comparison
| Feature | AWS | Azure | Google Cloud |
|---|---|---|---|
| Market Share | ~31% | ~25% | ~11% |
| Revenue (2025) | ~$110B | ~$85B | ~$44B |
| Regions | 34 | 60+ | 40+ |
| Availability Zones | 108 | 300+ | 121 |
| Total Services | 200+ | 200+ | 150+ |
| Free Tier | ✅ 12 months | ✅ 12 months | ✅ 90 days + always-free |
| Free Credits | — | $200 | $300 |
| SLA | 99.99% | 99.95-99.99% | 99.95-99.99% |
| Best For | Startups, breadth | Enterprise, hybrid | AI/ML, data analytics |
Core Compute Services
| Service Type | AWS | Azure | Google Cloud |
|---|---|---|---|
| Virtual Machines | EC2 | Virtual Machines | Compute Engine |
| Serverless Functions | Lambda | Azure Functions | Cloud Functions |
| Containers (Managed) | ECS / EKS | AKS | GKE |
| Kubernetes | EKS | AKS | GKE (best-in-class) |
| App Hosting | Elastic Beanstalk | App Service | App Engine |
| Spot/Preemptible VMs | Spot Instances | Spot VMs | Preemptible VMs |
| Bare Metal | ✅ | ✅ | ✅ |
Google's GKE (Google Kubernetes Engine) is widely regarded as the best managed Kubernetes service — not surprising since Google created Kubernetes. Azure's AKS has made significant improvements and AWS's EKS has the most third-party integrations.
Storage Services
| Service Type | AWS | Azure | Google Cloud |
|---|---|---|---|
| Object Storage | S3 | Blob Storage | Cloud Storage |
| Block Storage | EBS | Managed Disks | Persistent Disks |
| File Storage | EFS | Azure Files | Filestore |
| Archive | S3 Glacier | Archive Storage | Archive Storage |
| CDN | CloudFront | Azure CDN / Front Door | Cloud CDN |
| Object Storage Price | $0.023/GB/mo | $0.018/GB/mo | $0.020/GB/mo |
Azure edges out on storage pricing for standard blob storage, but S3's ecosystem (integrations, tools, documentation) is unmatched.
Database Services
| Database Type | AWS | Azure | Google Cloud |
|---|---|---|---|
| Relational (Managed) | RDS / Aurora | Azure SQL | Cloud SQL / AlloyDB |
| NoSQL Document | DynamoDB | Cosmos DB | Firestore |
| NoSQL Key-Value | DynamoDB | Table Storage | Bigtable |
| In-Memory Cache | ElastiCache | Azure Cache (Redis) | Memorystore |
| Data Warehouse | Redshift | Synapse Analytics | BigQuery |
| Graph Database | Neptune | Cosmos DB (Gremlin) | — |
| Serverless SQL | Aurora Serverless | Azure SQL Serverless | BigQuery |
Google BigQuery is the standout product here — a fully serverless data warehouse that can analyze petabytes of data in seconds. It's arguably the single best product in any cloud platform.
AI & Machine Learning
| Feature | AWS | Azure | Google Cloud |
|---|---|---|---|
| AI Platform | SageMaker | Azure AI / ML Studio | Vertex AI |
| Pre-trained AI APIs | Rekognition, Comprehend | Cognitive Services | Vision, NLP, Speech |
| LLM Access | Bedrock (Claude, Llama) | OpenAI Service (GPT-4) | Gemini, PaLM |
| AutoML | SageMaker Autopilot | Azure AutoML | Vertex AutoML |
| GPU Availability | ✅ NVIDIA (H100, A100) | ✅ NVIDIA (H100, A100) | ✅ TPUs + NVIDIA |
| Custom Chips | Trainium, Inferentia | Maia 100 | TPU v5e, v6 |
| AI Model Training | Very Good | Very Good | Best (TPU advantage) |
Google Cloud leads in AI/ML with its custom TPU chips, direct access to Gemini models, and the deepest research heritage (Google Brain, DeepMind). Azure's exclusive OpenAI partnership gives it access to GPT-4 and DALL-E. AWS offers the broadest selection of third-party models through Bedrock.
Pricing Comparison
Example: Standard VM (4 vCPU, 16 GB RAM, Linux)
| Provider | Instance | On-Demand (/hr) | 1-Year Reserved | 3-Year Reserved |
|---|---|---|---|---|
| AWS | m6i.xlarge | $0.192 | $0.121 (37% off) | $0.077 (60% off) |
| Azure | D4s v5 | $0.192 | $0.122 (36% off) | $0.077 (60% off) |
| GCP | n2-standard-4 | $0.194 | $0.122 (CUD, 37% off) | $0.087 (CUD, 55% off) |
Data Egress Pricing
| Tier | AWS | Azure | Google Cloud |
|---|---|---|---|
| First 100 GB/mo | Free* | Free* | Free |
| Next 10 TB | $0.09/GB | $0.087/GB | $0.12/GB |
| Next 40 TB | $0.085/GB | $0.083/GB | $0.11/GB |
| 150 TB+ | $0.05/GB | $0.05/GB | $0.08/GB |
Data egress (transferring data OUT of the cloud) is one of the largest hidden costs. All three providers charge for it, but AWS and Azure are slightly cheaper at scale.
Enterprise & Hybrid Cloud
| Feature | AWS | Azure | Google Cloud |
|---|---|---|---|
| Hybrid Solution | Outposts | Azure Arc / Stack | Anthos |
| On-Prem Integration | Good | Excellent | Good |
| Active Directory | ⚠️ (via integration) | ✅ Native (Entra ID) | ⚠️ (via integration) |
| Microsoft 365 | ❌ | ✅ Native | ❌ |
| SAP Integration | ✅ | ✅ | ✅ |
| Government Cloud | ✅ GovCloud | ✅ Government | ✅ Assured Workloads |
| Compliance Certs | 143+ | 100+ | 100+ |
Azure's killer advantage for enterprises is its seamless integration with Microsoft 365, Active Directory (Entra ID), and Windows Server. If your organization runs on Microsoft, Azure is the natural choice.
Who Should Choose What?
Choose AWS if:
- You want the broadest selection of services
- You're a startup (AWS Activate program)
- You need the most mature ecosystem and third-party tools
- Multi-cloud vendor availability matters
- You want the largest community and documentation
Choose Azure if:
- Your organization uses Microsoft 365 / Active Directory
- Hybrid cloud (on-prem + cloud) is important
- You need enterprise compliance and support
- You want OpenAI / GPT-4 integration
- You're migrating Windows workloads
Choose Google Cloud if:
- AI/ML is your primary workload
- Data analytics and BigQuery are key requirements
- You use Kubernetes heavily (GKE is the best)
- You want the best price-to-performance ratio
- You need custom AI chips (TPUs)
Verdict
AWS remains the market leader with the broadest service catalog, largest ecosystem, and most battle-tested infrastructure. It's the default choice for most workloads.
Azure is the enterprise champion, especially for organizations already invested in Microsoft. The OpenAI partnership gives it a unique AI advantage.
Google Cloud is the innovator's choice — best for AI/ML, data analytics, and Kubernetes. BigQuery and Vertex AI are category-defining products.
Our recommendation: For most new projects, AWS is still the safest bet with the deepest talent pool. For enterprise Microsoft shops, Azure is a no-brainer. For AI-first and data-heavy workloads, Google Cloud offers the best tools. Many organizations use multi-cloud strategies combining two or all three.