AWS vs Azure
AWS dominates in service breadth and large-scale deployments with 200+ services, while Azure excels in Microsoft ecosystem integration and hybrid cloud scenarios. Both are competitively priced in 2026, with Azure offering better raw storage costs and AWS providing superior flexibility for diverse workloads.
Amazon Web Services (AWS)
Comprehensive cloud platform offering 200+ services for compute, storage, databases, and enterprise solutions.
Large enterprises, startups, diverse workloads, AI/ML projects, and organizations avoiding vendor lock-in
Microsoft Azure
Microsoft's cloud platform with 60 global regions and tight enterprise software integration.
Microsoft-dependent enterprises, hybrid deployments, regulated industries, and organizations with Windows/.NET investments
Quick Answer
AI SummaryAWS dominates in service breadth and large-scale deployments with 200+ services, while Azure excels in Microsoft ecosystem integration and hybrid cloud scenarios. Both are competitively priced in 2026, with Azure offering better raw storage costs and AWS providing superior flexibility for diverse workloads.
Our Verdict
AI-assistedAWS remains the market leader for general-purpose cloud and large-scale diverse workloads with unmatched service breadth and flexibility. Azure is the strategic choice for enterprises with heavy Microsoft dependencies, hybrid on-premises infrastructure, or strict compliance requirements. In 2026, both platforms are cost-competitive when properly managed, making the decision dependent on organizational fit rather than raw capability.
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👑 Best pickLarge enterprises, startups, diverse workloads, AI/ML projects, and organizations avoiding vendor lock-in
Choose Microsoft Azure if
Microsoft-dependent enterprises, hybrid deployments, regulated industries, and organizations with Windows/.NET investments
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Key Differences at a Glance
Key Facts & Figures
89 numeric metrics compared
| Metric | Amazon Web Services (AWS) | Microsoft Azure | Ratio |
|---|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | $0.018 | +28% |
| Archival Storage Cost($/GB/month) | $0.004 | $0.002 | +100% |
| Market Share 2026(%) | 32% | 23% | +39% |
| Global Market Share (2026)(%) | 32% | 23% | +39% |
| Total Available Services(services) | 200+ | 200+ | |
| Global Availability Zones(zones) | 33 | 60+ | -45% |
| Pricing Model Complexity(simplicity score) | 5/10 | 6/10 | -17% |
| ML/AI Service Innovation Rating(score) | 8/10 | 7/10 | +14% |
| Windows/Active Directory Integration(native score) | 4/10 | 10/10 | -60% |
| Supported Cloud Providers(count) | AWS only | — | — |
| Global Geographic Regions(regions) | 33 regions | — | — |
| Availability Zones (AWS regions)(zones) | 105+ zones | — | — |
| Available Services/Integrations(count) | 190+ native services | — | — |
| Time to Provision Standard EC2 Instance(seconds) | 30-45 (via Console/CLI) | — | — |
| Monthly Cost (1 vCPU, 1GB RAM, Standard Instance)(USD) | $9.50 (t3.micro on-demand) | — | — |
| Outbound Data Transfer Cost per GB(USD) | $0.0116 | — | — |
| Global Data Center Regions(count) | 33 regions | — | — |
| Global Market Share(%) | 32% of global cloud infrastructure (2024) | 23% | +39% |
| Service Count(services) | 200+ | — | — |
| Compute Cost (e2-medium equivalent)(USD/hour) | $0.0416 | — | — |
| Data Transfer Out Cost(USD/GB) | $0.02 | — | — |
| ML Training Setup Time(hours) | 8-12 hours (SageMaker) | — | — |
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | — | — |
| Enterprise Support Annual Cost(USD) | $15,000 | — | — |
| Kubernetes Integration Complexity(manual steps) | 18-25 steps (EKS setup) | — | — |
| Available Cloud Services/Products(count) | 200+ | — | — |
| Free Tier Duration(months) | 12 months + always-free services | — | — |
| Premium Support Response Time(hours) | 1 hour (Business Support) | — | — |
| Monthly Cost for 10TB Egress Data Transfer(USD) | $116 (after 1GB free) | — | — |
| Minimum Setup Time(minutes) | 120 minutes | — | — |
| Global Edge Locations(data centers/cities) | 280+ CloudFront locations | 60+ regions | +367% |
| Average Cold Start Latency(milliseconds) | 125ms (Lambda standard) | — | — |
| Setup Time to First Deploy(minutes) | 45-60 (configure VPC, IAM, EC2, security groups) | — | — |
| Built-in Database Support(count) | 8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream) | — | — |
| SLA Uptime Guarantee(%) | 99.99% (us-east-1 region) | — | — |
| Concurrent Connections per Instance(requests/second) | 50,000+ (t3.large EC2) | — | — |
| Estimated Learning Time for New Developer(hours) | 80-100 hours | — | — |
| Supported Programming Languages for IaC(languages) | 3 languages (YAML, JSON, TypeScript/Python/Java via CDK) | — | — |
| Available Services/Resources(services) | 200+ AWS-specific services (largest portfolio in cloud) | — | — |
| Free Tier Cost(USD/month) | Free (1 year, then pay-as-you-go infrastructure costs) | — | — |
| AWS Regions/Availability Zones(regions) | 33+ geographic regions with 105+ availability zones | — | — |
| Certified Professionals(people) | 1M+ AWS Certified professionals | — | — |
| Minimum Monthly Cost(USD) | $0 (free tier + pay-per-use) | — | — |
| Cost for Standard Production App (2 dynos + add-ons)(USD/month) | $100-150 (EC2 Reserved + RDS) | — | — |
| Time to First Deployment(minutes) | 60-480 | — | — |
| Number of Available Services/Products(count) | 200+ | — | — |
| Maximum RAM per Instance(GB) | 24,576 | — | — |
| Lambda/Serverless Cold Start Latency(milliseconds) | 100-3000 | — | — |
| Global Regions Available(count) | 31 | — | — |
| Global Data Centers(locations) | 108 availability zones in 33 regions | 60+ regions | +80% |
| Available Services(services) | 200+ services | — | — |
| Starting Monthly Cost(USD) | $0 (free tier), pay-as-you-go | — | — |
| Setup Time (Minutes)(minutes) | 120+ minutes (full configuration) | — | — |
| Dedicated Database Services(services) | 15+ (RDS, DynamoDB, Redshift, etc.) | — | — |
| Typical Edge Response Time(milliseconds) | ~80ms (median global) | — | — |
| Maximum DDoS Mitigation Capacity(Tbps) | ~700 Gbps (AWS Shield Advanced) | — | — |
| Data Warehouse Query Speed (Typical)(seconds) | 5-15 seconds (Synapse) | 5-15 seconds (Synapse) | |
| Spark Performance (Query Speed)(x faster relative to standard Spark) | 1-2x faster (HDInsight baseline) | 1-2x faster (HDInsight baseline) | |
| Total Service Offerings(services) | 200+ services across all categories | 200+ services across all categories | |
| Compute Instance Cost (Standard)(USD per hour) | $0.40-$2.00 (VM-dependent) | $0.40-$2.00 (VM-dependent) | |
| Typical Enterprise Migration Time(months) | 6-12 months (full cloud migration) | 6-12 months (full cloud migration) | |
| SQL Query Performance (TPC-DS 100TB)(seconds) | 420 seconds | 420 seconds | |
| Spark Job Acceleration(multiplier) | 1x baseline | 1x baseline | |
| ML Frameworks Supported(count) | 40+ frameworks | 40+ frameworks | |
| Global Region Availability(regions) | 60+ native | 60+ native | |
| Enterprise Service Count(services) | 500+ | 500+ | |
| Starting Monthly Cost (10TB workload)(USD) | $2,000-$4,000 | $2,000-$4,000 | |
| DDoS Protection Capacity(Tbps) | 10 Tbps standard protection | 10 Tbps standard protection | |
| Entry-Level VM Cost (Monthly)(USD) | $21.77/month (B1s instance) | $21.77/month (B1s instance) | |
| Average DNS Query Response Time(milliseconds) | ~50-100ms (varies by region) | ~50-100ms (varies by region) | |
| Supported Programming Languages (Workers/Serverless)(languages) | Node.js, Python, Java, .NET, Go, C# (Functions) | Node.js, Python, Java, .NET, Go, C# (Functions) | |
| Enterprise Support Response SLA(minutes) | 60 minutes (Premium Support) | 60 minutes (Premium Support) | |
| Entry-Level VM/Droplet Cost(USD/month) | $15-20 | $15-20 | |
| Standard 2GB RAM VM Cost(USD/month) | $30-50 | $30-50 | |
| Available Services/Products(count) | 200+ | 200+ | |
| Uptime SLA(%) | 99.95% | 99.95% | |
| Time to Deploy First VM(minutes) | 30-60 | 30-60 | |
| AI/ML Services(count) | 25+ | 25+ | |
| Free Tier Credit(USD) | $200 (30 days) | $200 (30 days) | |
| Compute Instance Cost (Monthly)(USD) | $290 | $290 | |
| AI/ML Service Portfolio(services) | 70+ services | 70+ services | |
| Global Regions(regions) | 60 regions | 60 regions | |
| Compliance Certifications(certifications) | 90+ | 90+ | |
| Global Market Share 2026(%) | 23% | 23% | |
| Available Regions(regions) | 60 regions | 60 regions | |
| AI/ML Services Available(services) | 45+ services | 45+ services | |
| Entry-Level VM Monthly Cost(USD) | $15-30 | $15-30 | |
| Uptime SLA Guarantee(%) | 99.99% | 99.99% | |
| Database Services Offered(services) | 12+ databases | 12+ databases |
Sourced from publicly available data · Jun 2026
Key Differences
7 attributes compared head-to-head
Amazon Web Services (AWS)
200+ services across all categories🏆
Microsoft Azure
175+ services with Microsoft focus
Amazon Web Services (AWS)
Limited third-party integrations
Microsoft Azure
Native integration with Windows, .NET, Office 365, SQL Server🏆
Amazon Web Services (AWS)
AWS Outposts (minimal)
Microsoft Azure
Azure Stack Hub (enterprise-grade hybrid)🏆
Amazon Web Services (AWS)
$0.023 per GB/month (standard)
Microsoft Azure
$0.018 per GB/month (standard) - 22% cheaper🏆
Amazon Web Services (AWS)
Bedrock with multiple model choices🏆
Microsoft Azure
Exclusive OpenAI partnership (GPT-4)
Amazon Web Services (AWS)
Fargate (established, feature-rich)
Microsoft Azure
Container Instances (good, mature)
Amazon Web Services (AWS)
Comprehensive, FedRAMP, HIPAA
Microsoft Azure
Superior for regulated industries🏆
Full Comparison
| Attribute | Amazon Web Services (AWS) | Microsoft Azure |
|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | $0.018 |
| Archival Storage Cost($/GB/month) | $0.004 | $0.002 |
| Pricing Model Complexity(simplicity score) | 5/10 | 6/10 |
| Base Software Cost(USD/month) | Pay-per-use only | — |
| Terraform Cloud Team Plan Cost(USD/month per user) | N/A | — |
Show 20 more attributesMonthly Cost (1 vCPU, 1GB RAM, Standard Instance)(USD) $9.50 (t3.micro on-demand) — Outbound Data Transfer Cost per GB(USD) $0.0116 — Compute Cost (e2-medium equivalent)(USD/hour) $0.0416 — Data Transfer Out Cost(USD/GB) $0.02 — Free Tier Duration(months) 12 months + always-free services — Monthly Cost for 10TB Egress Data Transfer(USD) $116 (after 1GB free) — Free Tier Cost(USD/month) Free (1 year, then pay-as-you-go infrastructure costs) — Minimum Monthly Cost(USD) $0 (free tier + pay-per-use) — Cost for Standard Production App (2 dynos + add-ons)(USD/month) $100-150 (EC2 Reserved + RDS) — Starting Monthly Cost(USD) $0 (free tier), pay-as-you-go — Compute Instance Cost (Standard)(USD per hour) $0.40-$2.00 (VM-dependent) — Starting Monthly Cost (10TB workload)(USD) $2,000-$4,000 — Free Tier Monthly Requests(requests) Limited free tier; specific allocations by service — Entry-Level VM Cost (Monthly)(USD) $21.77/month (B1s instance) — Pro Plan Monthly Price(USD) Varies ($25-500+ for multi-service bundle) — Entry-Level VM/Droplet Cost(USD/month) $15-20 — Standard 2GB RAM VM Cost(USD/month) $30-50 — Compute Instance Cost (Monthly)(USD) $290 — License Mobility Cost Advantage(%) Not applicable — Entry-Level VM Monthly Cost(USD) $15-30 — | ||
| AI/ML Model Flexibility | Multiple models via Bedrock | Exclusive OpenAI partnership |
| Hybrid Cloud Support Maturity | AWS Outposts (limited) | Azure Stack Hub (enterprise-grade) |
| Global Availability Zones(zones) | 33 | 60+ |
| Global Geographic Regions(regions) | 33 regions | — |
| Availability Zones (AWS regions)(zones) | 105+ zones | — |
| Global Data Center Regions(count) | 33 regions | — |
Show 6 more attributesGlobal Edge Locations(data centers/cities) 280+ CloudFront locations 60+ regions Global Regions Available(count) 31 — Global Data Centers(locations) 108 availability zones in 33 regions 60+ regions Global Region Availability(regions) 60+ native — Global Regions(regions) 60 regions — Available Regions(regions) 60 regions — | ||
| Container Serverless Performance | Fargate (feature-rich) | Container Instances (mature) |
| Market Share 2026(%) | 32% | 23% |
| Global Market Share (2026)(%) | 32% | 23% |
| Global Market Share(%) | 32% of global cloud infrastructure (2024) | 23% |
| Global Market Share 2026(%) | 23% | — |
| Total Available Services(services) | 200+ | 200+ |
| ML/AI Service Innovation Rating(score) | 8/10 | 7/10 |
| AI/ML Services Available(services) | 45+ services | — |
| Hybrid Cloud Support Level(capability) | Moderate (Outposts) | Excellent (Stack/Arc) |
| Windows/Active Directory Integration(native score) | 4/10 | 10/10 |
| Microsoft Ecosystem Integration(native integrations) | Deep (Office 365, Teams, Dynamics, Power BI native) | — |
| Windows Server Optimization | Native, optimized licensing | — |
| Developer Community Size(active developers) | Largest | Large |
| Supported Cloud Providers(count) | AWS only | — |
| Container/Kubernetes Strength(native integration) | Strong (ECS/EKS) | Strong (AKS) |
| BigQuery-Grade Analytics(capability) | Via Athena/Redshift | Via Synapse |
| Available Services/Integrations(count) | 190+ native services | — |
| Time to Provision Standard EC2 Instance(seconds) | 30-45 (via Console/CLI) | — |
| Average Cold Start Latency(milliseconds) | 125ms (Lambda standard) | — |
| Lambda/Serverless Cold Start Latency(milliseconds) | 100-3000 | — |
| Typical Edge Response Time(milliseconds) | ~80ms (median global) | — |
| Data Warehouse Query Speed (Typical)(seconds) | 5-15 seconds (Synapse) | — |
Show 4 more attributesSpark Performance (Query Speed)(x faster relative to standard Spark) 1-2x faster (HDInsight baseline) — SQL Query Performance (TPC-DS 100TB)(seconds) 420 seconds — Spark Job Acceleration(multiplier) 1x baseline — Average DNS Query Response Time(milliseconds) ~50-100ms (varies by region) — | ||
| GitHub Integration for IaC(native support) | AWS CloudFormation requires manual GitHub setup | — |
| Built-in CI/CD Pipeline(included) | No, requires CodePipeline ($0.02/active pipeline) | — |
| Service Count(services) | 200+ | — |
| Available Cloud Services/Products(count) | 200+ | — |
| AI/ML Service Availability(availability) | SageMaker, Bedrock, Forecast, Lookout, Kendra | — |
| Built-in Database Support(count) | 8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream) | — |
| Available Services/Products(count) | 200+ | — |
Show 1 more attributeAI/ML Services(count) 25+ — | ||
| ML Training Setup Time(hours) | 8-12 hours (SageMaker) | — |
| Kubernetes Integration Complexity(manual steps) | 18-25 steps (EKS setup) | — |
| Supported Programming Languages for IaC(languages) | 3 languages (YAML, JSON, TypeScript/Python/Java via CDK) | — |
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | — |
| Enterprise Support Annual Cost(USD) | $15,000 | — |
| Premium Support Response Time(hours) | 1 hour (Business Support) | — |
| Enterprise Support Response SLA(minutes) | 60 minutes (Premium Support) | — |
| Minimum Setup Time(minutes) | 120 minutes | — |
| Setup Time to First Deploy(minutes) | 45-60 (configure VPC, IAM, EC2, security groups) | — |
| Estimated Learning Time for New Developer(hours) | 80-100 hours | — |
| SLA Uptime Guarantee(%) | 99.99% (us-east-1 region) | — |
| Uptime SLA(%) | 99.95% | — |
| Uptime SLA Guarantee(%) | 99.99% | — |
| Concurrent Connections per Instance(requests/second) | 50,000+ (t3.large EC2) | — |
| Maximum RAM per Instance(GB) | 24,576 | — |
| GitHub Stars(stars) | N/A (not a single GitHub repo) | — |
| Multi-Cloud Support(cloud providers) | AWS only | Azure only (with hybrid via Stack) |
| Available Services/Resources(services) | 200+ AWS-specific services (largest portfolio in cloud) | — |
| AWS Regions/Availability Zones(regions) | 33+ geographic regions with 105+ availability zones | — |
| Certified Professionals(people) | 1M+ AWS Certified professionals | — |
| Time to First Deployment(minutes) | 60-480 | — |
| Supported Programming Languages (Workers/Serverless)(languages) | Node.js, Python, Java, .NET, Go, C# (Functions) | — |
| Number of Available Services/Products(count) | 200+ | — |
| Available Services(services) | 200+ services | — |
| DDoS Protection Included | No (Shield Advanced: $3,000/month) | — |
| Maximum DDoS Mitigation Capacity(Tbps) | ~700 Gbps (AWS Shield Advanced) | — |
| DDoS Protection Capacity(Tbps) | 10 Tbps standard protection | — |
| Setup Time (Minutes)(minutes) | 120+ minutes (full configuration) | — |
| Time to Deploy First VM(minutes) | 30-60 | — |
| Dedicated Database Services(services) | 15+ (RDS, DynamoDB, Redshift, etc.) | — |
| Total Service Offerings(services) | 200+ services across all categories | — |
| Enterprise Service Count(services) | 500+ | — |
| Native ML Ops Tools(tools included) | Azure ML, AutoML (separate setup) | — |
| Data Governance Features(key capabilities) | Azure Purview, Synapse governance, encryption | — |
| Typical Enterprise Migration Time(months) | 6-12 months (full cloud migration) | — |
| ML Frameworks Supported(count) | 40+ frameworks | — |
| Data Governance Granularity(access level) | Database and table-level basic | — |
| ACID Transaction Support(boolean) | Limited (requires workarounds) | — |
| Free Tier Credit(USD) | $200 (30 days) | — |
| AI/ML Service Portfolio(services) | 70+ services | — |
| Compliance Certifications(certifications) | 90+ | — |
| Oracle Database Performance Optimization(%) | Third-party optimization | — |
| Microsoft Enterprise Integration | Native (Office 365, Teams, Dynamics, AD) | — |
| Red Hat OpenShift Integration | Available (separate purchase) | — |
| Database Services Offered(services) | 12+ databases | — |
Microsoft AzureShow 20 more attributes
Show 6 more attributes
Show 4 more attributes
Show 1 more attribute
Visual Comparison
Side-by-side comparison of numeric attributes
Pros & Cons
10 pros·4 cons across both
Amazon Web Services (AWS)
Pros
- Broadest service portfolio with 200+ services
- Superior for large-scale and diverse workloads
- Bedrock AI with multiple model choices
- Advanced Fargate serverless container platform
- Most mature and battle-tested infrastructure
Cons
- Steeper learning curve for beginners
- Limited native Microsoft ecosystem integration
Microsoft Azure
Pros
- Seamless Microsoft ecosystem integration
- Enterprise-grade hybrid cloud with Azure Stack
- 22% cheaper storage costs vs AWS
- Exclusive OpenAI GPT-4 partnership
- Superior compliance and regulatory coverage
Cons
- Fewer total services (175 vs 200+)
- Less flexibility for non-Microsoft workloads
Frequently Asked Questions
5 questions
Neither platform is inherently cheaper. AWS and Azure have near-identical compute pricing, but Azure undercuts AWS on storage by approximately 22% for standard storage and 50% for archival data. However, actual savings depend on workload optimization, commitment discounts, and cost management discipline. Both require active monitoring to prevent bill sprawl.
Azure is the clear choice if you heavily depend on Microsoft technologies (Windows, .NET, SQL Server, Office 365). Azure offers native integration, smoother licensing through Software Assurance, and hybrid capabilities via Azure Stack. AWS requires additional workarounds and third-party tools for equivalent Microsoft integration.
AWS provides broader AI flexibility through Bedrock, supporting multiple foundation models from various providers. Azure offers exclusive access to OpenAI's GPT-4 models, which is advantageous if you specifically need OpenAI. For general AI workloads, AWS offers more model choice; for OpenAI-specific needs, Azure is superior.
Azure is significantly better for hybrid cloud with Azure Stack Hub, providing enterprise-grade on-premises and cloud integration. AWS Outposts exist but are more limited in scope. If you need seamless hybrid architecture, Azure is the stronger choice.
Both providers exceed compliance standards (FedRAMP, HIPAA, GDPR), but Azure leads for regulated industries with superior compliance coverage and integrated security tools. Azure's compliance certifications are more extensive, making it preferred by healthcare, finance, and government sectors.
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