DR
Daniel RozinEditor-in-Chief
2 min read
software
AWS vs Azure 2026: Market Share & Enterprise Comparison
VS
Microsoft Azure
Enterprise cloud platform with 200+ services covering compute, AI, analytics, and compliance.
Enterprise organizations with Microsoft stack investments, hybrid cloud requirements, and those seeking integrated Windows/Active Directory solutions
Score71%
177 attributes7 differences15 pros/cons
Quick Answer
AI SummaryAWS leads in market share (32%) and service breadth with 200+ services, while Azure excels in enterprise integration with 98% of Fortune 500 companies using Microsoft products, giving it a native advantage for Windows-based workloads and Microsoft stack users.
Read full verdictChoose AWS if you need maximum service variety, prefer vendor independence, or are building greenfield cloud infrastructure with cost optimization as priority. Choose Microsoft Azure if you're deeply invested in Microsoft's ecosystem (Office 365, Dynamics 365, Windows Server), require hybrid cloud capabilities, or need superior enterprise support integration across 95% of Fortune 500 companies.
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A
Amazon Web Services (AWS)
6.9/10
Microsoft Azure
8.1/10
A
Choose Amazon Web Services (AWS) if
Startups, AI/ML projects, companies seeking vendor independence, and teams needing maximum service breadth
Choose Microsoft Azure if
Best pickEnterprise organizations with Microsoft stack investments, hybrid cloud requirements, and those seeking integrated Windows/Active Directory solutions
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Key Differences at a Glance
- Global Market Share:✓ Amazon Web Services (AWS) wins(32% vs 23%)
- Total Services Offered:200+ vs 200+
- Enterprise 500 Integration:✓ Microsoft Azure wins(~95% of Fortune 500 vs ~75% of Fortune 500)
Key Facts & Figures
137 numeric metrics compared
| Metric | Amazon Web Services (AWS) | Microsoft Azure | Ratio |
|---|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | $0.018 | |
| Archival Storage Cost($/GB/month) | $0.004 | $0.002 | |
| Market Share 2026(%) | 32% | 23% | |
| Global Market Share (2026)(%) | 32% | 52% | |
| Total Available Services(services) | 200+ | 200+ | |
| Global Availability Zones(zones) | 33 | 60+ | |
| Pricing Model Complexity(simplicity score) | 5/10 | 6/10 | |
| ML/AI Service Innovation Rating(score) | 8/10 | 7/10 | |
| Windows/Active Directory Integration(native score) | 4/10 | 10/10 | |
| 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(regions) | 33 regions | 60 regions | |
| Global Market Share(%) | 32% | 23% | |
| 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(minutes) | 1 hour (Business Support) | 15 minutes | |
| Monthly Cost for 10TB Egress Data Transfer(USD) | $116 (after 1GB free) | — | — |
| Minimum Setup Time(minutes) | 120 minutes | — | — |
| 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(percent) | 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) | $0 (limited free tier) | |
| Cost for Standard Production App (2 dynos + add-ons)(USD/month) | $100-150 (EC2 Reserved + RDS) | — | — |
| 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(regions) | 32 regions | — | — |
| Global Data Centers(regions) | 31 regions | 60+ regions | |
| Available Services(count) | 200+ services | 200+ services | |
| Starting Monthly Cost(USD) | $0.01 (variable by service) | — | — |
| 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) | — | — |
| Global Market Share (Cloud IaaS)(%) | 32% | 23% | |
| Total Cloud Services(count) | 200+ | 200+ | |
| Compute Instance Starting Price (hourly)(USD) | $0.0116/hour (t3.micro) | $0.0120/hour (B1s) | |
| Reserved Instance Discount (1-year)(%) | up to 72% | up to 72% | |
| Machine Learning Service Maturity(years) | SageMaker (launched 2017) | Azure ML (launched 2014) | |
| Available Services/Features(count) | 200+ services | — | — |
| Average Global Latency(milliseconds) | 50-150ms | — | — |
| Starting Monthly Price(USD) | Pay-as-you-go from $0 | — | — |
| Cloud Market Share(percentage) | 32% of public cloud (2024) | — | — |
| Time to First Deployment(minutes) | 120-240 minutes | — | — |
| Number of Integrated Services(services) | 200+ services | — | — |
| Free Tier Database Storage(GB) | 0.75GB RDS micro (750 hours/month) | — | — |
| Cost at 1 Million Daily Active Users(USD per month) | $3,000-8,000 (optimized EC2 + RDS) | — | — |
| Average Learning Curve(weeks to productivity) | 8-12 weeks | — | — |
| Developer Adoption Rate(%) | 32% of developers use AWS | — | — |
| Global Edge Locations(cities/regions) | 600+ | 60+ regions | |
| Serverless Function Timeout(minutes) | 15 minutes | — | — |
| Max Serverless Memory(GB) | 10 GB | — | — |
| Serverless Function Cost per 1M Requests(USD) | $0.20 | — | — |
| Minimum Monthly Cost (Paid Tier)(USD) | $0 (pay-per-use only) | — | — |
| Deployment Time from Git Push(seconds) | 300-900 (5-15 minutes) | — | — |
| Native Database Options(count) | 24+ (RDS, DynamoDB, Aurora, Redshift, etc.) | — | — |
| Setup Complexity (Learning Hours Required)(hours) | 40+ hours for foundational AWS certification | — | — |
| Uptime SLA Guarantee(percent) | 99.99% (multi-region) | 99.99% | |
| Total Services/Products(count) | 200+ | — | — |
| Compute Instance Pricing (on-demand)(USD/vCPU/hour) | $0.0535 | — | — |
| Global Regions(regions) | 33 | 60 regions | |
| Fortune 500 Adoption Rate(%) | 65% | ~95% | |
| Free Tier Credit Duration(months) | 12 months | — | — |
| 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) | |
| 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(percent) | 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 | |
| Compliance Certifications(count) | 90+ (HIPAA, FedRAMP, SOC 2, ISO 27001) | 90+ (HIPAA, FedRAMP, SOC 2, ISO 27001) | |
| 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 | |
| Database Services Offered(services) | 12+ databases | 12+ databases | |
| Basic Compute Instance Hourly Cost(USD/hour) | $0.0106/hour | $0.0106/hour | |
| Monthly Compute Instance Cost(USD/month) | $7.60/month | $7.60/month | |
| Free Trial Credit(USD) | $200 (30 days) | $200 (30 days) | |
| Available Cloud Regions(regions) | 60 regions | 60 regions | |
| Platform Services Offered(services) | 200+ services | 200+ services | |
| Maximum Virtual Machine RAM(GB) | 11,904 GB | 11,904 GB | |
| Setup Complexity (1-10 scale)(difficulty score) | 8/10 (steep) | 8/10 (steep) | |
| Entry-Level Pricing(USD/month) | $15/month (1-core VM) | $15/month (1-core VM) | |
| Free Trial Duration(days) | 30 days ($200 credit) | 30 days ($200 credit) | |
| Setup Time to First Deployment(minutes) | 15-20 minutes (average) | 15-20 minutes (average) | |
| AI/ML Service Coverage(percentage) | 50+ pre-built AI models, full ML platform | 50+ pre-built AI models, full ML platform | |
| Spark Query Performance (vs baseline)(x faster) | 1-3x (HDInsight standard) | 1-3x (HDInsight standard) | |
| Base Compute Cost (per DBU/hour)(USD) | $0.055-$0.116 (Standard_D4s_v3) | $0.055-$0.116 (Standard_D4s_v3) | |
| Total Cloud Services Available(services) | 200+ (all cloud categories) | 200+ (all cloud categories) | |
| AI/ML Pre-built Services(count) | 180+ services | 180+ services | |
| Database Autonomous Administration Coverage(%) | 40% | 40% | |
| Starting Compute Instance Cost (monthly)(USD) | $25-35 | $25-35 | |
| Database Optimization for Oracle Workloads(performance %) | Baseline (100%) | Baseline (100%) | |
| Free Tier Data Egress (daily)(GB) | Limited tier | Limited tier | |
| Serverless Function Cold Start Time(milliseconds) | 600ms avg | 600ms avg | |
| Total Service Offerings(services) | 200+ | 200+ | |
| Managed Kubernetes Pricing (Per Cluster)(USD/month) | $73 (AKS standard) | $73 (AKS standard) | |
| AI/ML Service Count(services) | 75+ (OpenAI, Vision, Language, Anomaly Detector) | 75+ (OpenAI, Vision, Language, Anomaly Detector) | |
| Community Q&A Presence (Stack Overflow)(questions) | 500,000+ questions | 500,000+ questions |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
AW
2Amazon Web Services (AWS)Microsoft Azure leads1 tie
Amazon Web Services (AWS)
Attribute
Microsoft Azure
- 32%(winner)Global Market Share23%
- 200+Total Services Offered200+
- ~75% of Fortune 500Enterprise 500 Integration~95% of Fortune 500(winner)
- $0.0116/hour(winner)Starting EC2/VM Pricing (t3.micro/B1s)$0.0120/hour
- 33 regionsGlobal Data Center Regions60+ regions(winner)
- Limited (RDS for SQL Server)SQL Server Native SupportNative (Azure SQL Database)(winner)
- AWS Outposts (newer)Hybrid Cloud IntegrationAzure Stack (mature)(winner)
- Global Market Share
Amazon Web Services (AWS)
32%(winner)
Microsoft Azure
23%
- Total Services Offered
Amazon Web Services (AWS)
200+
Microsoft Azure
200+
- Enterprise 500 Integration
Amazon Web Services (AWS)
~75% of Fortune 500
Microsoft Azure
~95% of Fortune 500(winner)
- Starting EC2/VM Pricing (t3.micro/B1s)
Amazon Web Services (AWS)
$0.0116/hour(winner)
Microsoft Azure
$0.0120/hour
- Global Data Center Regions
Amazon Web Services (AWS)
33 regions
Microsoft Azure
60+ regions(winner)
Full Comparison
| Attribute | Amazon Web Services (AWS) | Microsoft Azure |
|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | $0.018(winner) |
| Archival Storage Cost($/GB/month) | $0.004 | $0.002(winner) |
| Pricing Model Complexity(simplicity score) | 5/10 | 6/10(winner) |
| Base Software Cost(USD) | Pay-per-use only | — |
| Terraform Cloud Team Plan Cost(USD/month per user) | N/A | — |
Show 33 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) $0 (limited free tier) Cost for Standard Production App (2 dynos + add-ons)(USD/month) $100-150 (EC2 Reserved + RDS) — Starting Monthly Cost(USD) $0.01 (variable by service) — Compute Instance Starting Price (hourly)(USD) $0.0116/hour (t3.micro) $0.0120/hour (B1s) Reserved Instance Discount (1-year)(%) up to 72% up to 72% Starting Monthly Price(USD) Pay-as-you-go from $0 — Free Tier Database Storage(GB) 0.75GB RDS micro (750 hours/month) — Serverless Function Cost per 1M Requests(USD) $0.20 — Minimum Monthly Cost (Paid Tier)(USD) $0 (pay-per-use only) — 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 — Basic Compute Instance Hourly Cost(USD/hour) $0.0106/hour — Monthly Compute Instance Cost(USD/month) $7.60/month — Entry-Level Pricing(USD/month) $15/month (1-core VM) — Base Compute Cost (per DBU/hour)(USD) $0.055-$0.116 (Standard_D4s_v3) — Starting Compute Instance Cost (monthly)(USD) $25-35 — Free Tier Data Egress (daily)(GB) Limited tier — Managed Kubernetes Pricing (Per Cluster)(USD/month) $73 (AKS standard) — | ||
| 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+(winner) |
| Global Geographic Regions(regions) | 33 regions | — |
| Availability Zones (AWS regions)(zones) | 105+ zones | — |
| Global Data Center Regions(regions) | 33 regions | 60 regions(winner) |
Show 9 more attributesMulti-Cloud Support(clouds supported) AWS only Azure only (with hybrid via Stack) Global Data Centers(regions) 31 regions 60+ regions Global Edge Locations(cities/regions) 600+ 60+ regions Native Database Options(count) 24+ (RDS, DynamoDB, Aurora, Redshift, etc.) — Global Regions(regions) 33 60 regions Global Region Availability(regions) 60+ native — Available Regions(regions) 60 regions — Available Cloud Regions(regions) 60 regions — Cloud Platform Options(clouds) Azure only — | ||
| Container Serverless Performance | Fargate (feature-rich) | Container Instances (mature) |
| Market Share 2026(%) | 32%(winner) | 23% |
| Global Market Share (2026)(%) | 32% | 52%(winner) |
| Global Market Share(%) | 32%(winner) | 23% |
| Global Market Share (Cloud IaaS)(%) | 32%(winner) | 23% |
| Cloud Market Share(percentage) | 32% of public cloud (2024) | — |
Show 1 more attributeGlobal Market Share 2026(%) 23% — | ||
| Total Available Services(services) | 200+ | 200+ |
| ML/AI Service Innovation Rating(score) | 8/10(winner) | 7/10 |
| AI/ML Services Available(services) | 45+ services | — |
| AI/ML Pre-built Services(count) | 180+ services | — |
| Hybrid Cloud Support Level(capability) | Moderate (Outposts) | Excellent (Stack/Arc) |
| SQL Server Database Support(text) | RDS for SQL Server (third-party) | Azure SQL Database (native) |
| Windows/Active Directory Integration(native score) | 4/10 | 10/10(winner) |
| Windows Server Optimization | Native, optimized licensing | — |
| Developer Community Size(forum posts) | Largest | Large |
| Premium Support Response Time(minutes) | 1 hour (Business Support)(winner) | 15 minutes |
| Enterprise Support Response SLA(minutes) | 60 minutes (Premium Support) | — |
| Container/Kubernetes Strength(native integration) | Strong (ECS/EKS) | Strong (AKS) |
| BigQuery-Grade Analytics(capability) | Via Athena/Redshift | Via Synapse |
| Supported Cloud Providers(count) | AWS only | — |
| Available Services/Integrations(count) | 190+ native services | — |
| Available Services(count) | 200+ services | 200+ services |
| Total Cloud Services(count) | 200+ | 200+ |
| 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) | — |
| Average Global Latency(milliseconds) | 50-150ms | — |
Show 9 more attributesServerless Function Timeout(minutes) 15 minutes — Max Serverless Memory(GB) 10 GB — Data Warehouse Query Speed (Typical)(seconds) 5-15 seconds (Synapse) — Spark 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) — Spark Query Performance (vs baseline)(x faster) 1-3x (HDInsight standard) — Serverless Function Cold Start Time(milliseconds) 600ms avg — | ||
| 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+ | — |
| Number of Available Services/Products(count) | 200+ | — |
| Available Services/Features(count) | 200+ services | — |
| ML Training Setup Time(hours) | 8-12 hours (SageMaker) | — |
| Kubernetes Integration Complexity(manual steps) | 18-25 steps (EKS setup) | — |
| Minimum Setup Time(minutes) | 120 minutes | — |
| Supported Programming Languages for IaC(languages) | 3 languages (YAML, JSON, TypeScript/Python/Java via CDK) | — |
| Deployment Time from Git Push(seconds) | 300-900 (5-15 minutes) | — |
Show 1 more attributeSetup Complexity (Learning Hours Required)(hours) 40+ hours for foundational AWS certification — | ||
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | — |
| Enterprise Support Annual Cost(USD) | $15,000 | — |
| 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+ | — |
| AI/ML Services(count) | 25+ | — |
Show 3 more attributesPlatform Services Offered(services) 200+ services — Total Service Offerings(services) 200+ — AI/ML Service Count(services) 75+ (OpenAI, Vision, Language, Anomaly Detector) — | ||
| Setup Time to First Deploy(minutes) | 45-60 (configure VPC, IAM, EC2, security groups) | — |
| Estimated Learning Time for New Developer(hours) | 80-100 hours | — |
| Setup Time (Minutes)(minutes) | 120+ minutes (full configuration) | — |
| Setup Time(minutes) | 30-60+ minutes (account setup, IAM, networking) | — |
| Average Learning Curve(weeks to productivity) | 8-12 weeks | — |
Show 1 more attributeSetup Complexity (1-10 scale)(difficulty score) 8/10 (steep) — | ||
| SLA Uptime Guarantee(percent) | 99.99% (us-east-1 region) | — |
| Uptime SLA Guarantee(percent) | 99.99% (multi-region) | 99.99% |
| Uptime SLA(percent) | 99.95% | — |
| 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) | — |
| 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 | — |
| Global Regions Available(regions) | 32 regions | — |
| DDoS Protection Included | No (Shield Advanced: $3,000/month) | — |
| Maximum DDoS Mitigation Capacity(Tbps) | ~700 Gbps (AWS Shield Advanced) | — |
| Basic DDoS Protection Included | Layer 3/4 only (Advanced costs $3,000+/mo) | — |
| DDoS Protection Capacity(Tbps) | 10 Tbps standard protection | — |
| Compliance Certifications(count) | 90+ (HIPAA, FedRAMP, SOC 2, ISO 27001) | — |
Show 1 more attributeData Security (Encryption)(standard) AES-256, customer-managed keys — | ||
| Dedicated Database Services(services) | 15+ (RDS, DynamoDB, Redshift, etc.) | — |
| Machine Learning Service Maturity(years) | SageMaker (launched 2017) | Azure ML (launched 2014)(winner) |
| ML Frameworks Supported(count) | 40+ frameworks | — |
| Time to First Deployment(minutes) | 120-240 minutes | — |
| Number of Integrated Services(services) | 200+ services | — |
| Cost at 1 Million Daily Active Users(USD per month) | $3,000-8,000 (optimized EC2 + RDS) | — |
| Database Query Flexibility(complexity level) | Extensive—full SQL, custom queries, advanced analytics | — |
| Developer Adoption Rate(%) | 32% of developers use AWS | — |
| Community Q&A Presence (Stack Overflow)(questions) | 500,000+ questions | — |
| Total Services/Products(count) | 200+ | — |
| Total Cloud Services Available(services) | 200+ (all cloud categories) | — |
| Compute Instance Pricing (on-demand)(USD/vCPU/hour) | $0.0535 | — |
| Free Tier Credit Duration(months) | 12 months | — |
| BigQuery Query Performance (1TB test)(seconds) | N/A (Redshift: 8-12s) | — |
| Fortune 500 Adoption Rate(%) | 65% | ~95%(winner) |
| ML Service Leader(text) | SageMaker (good, broad) | — |
| Native ML Ops Tools(tools included) | Azure ML, AutoML (separate setup) | — |
| Microsoft Ecosystem Integration | Deep (Office 365, Teams, Dynamics, Power BI native) | — |
| Microsoft Enterprise Integration | Native (Office 365, Teams, Dynamics, AD) | — |
| Data Governance Features(key capabilities) | Azure Purview, Synapse governance, encryption | — |
| Typical Enterprise Migration Time(months) | 6-12 months (full cloud migration) | — |
| Data Governance Granularity(access level) | Database and table-level basic | — |
| Enterprise Service Count(services) | 500+ | — |
| ACID Transaction Support(boolean) | Limited (requires workarounds) | — |
| Supported Programming Languages (Workers/Serverless)(languages) | Node.js, Python, Java, .NET, Go, C# (Functions) | — |
| Time to Deploy First VM(minutes) | 30-60 | — |
| Free Tier Credit(USD) | $200 (30 days) | — |
| Free Trial Credit(USD) | $200 (30 days) | — |
| Free Trial Duration(days) | 30 days ($200 credit) | — |
| AI/ML Service Portfolio(services) | 70+ services | — |
| Oracle Database Performance Optimization(%) | Third-party optimization | — |
| Database Optimization for Oracle Workloads(performance %) | Baseline (100%) | — |
| Red Hat OpenShift Integration | Available (separate purchase) | — |
| Database Services Offered(services) | 12+ databases | — |
| Maximum Virtual Machine RAM(GB) | 11,904 GB | — |
| Setup Time to First Deployment(minutes) | 15-20 minutes (average) | — |
| AI/ML Service Coverage(percentage) | 50+ pre-built AI models, full ML platform | — |
| Enterprise Compliance Certifications(count of major certifications) | HIPAA, FedRAMP, PCI-DSS, SOC2, ISO 27001 | — |
| Monthly Billing Transparency(score) | Complex: 100+ pricing tiers, reserved instances, spot pricing | — |
| Native Data Lakehouse(boolean) | No (requires external solutions) | — |
| Power BI Integration(integration level) | Native, no additional setup | — |
| Multi-workspace Collaboration(users per workspace) | Shared resources via RBAC | — |
| Database Autonomous Administration Coverage(%) | 40% | — |
AAmazon Web Services (AWS)
Microsoft AzureStandard Storage Cost($/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)
Pay-per-use only
—
Terraform Cloud Team Plan Cost(USD/month per user)
N/A
—
Show 33 more attributes
Monthly 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)
$0 (limited free tier)
Cost for Standard Production App (2 dynos + add-ons)(USD/month)
$100-150 (EC2 Reserved + RDS)
—
Starting Monthly Cost(USD)
$0.01 (variable by service)
—
Compute Instance Starting Price (hourly)(USD)
$0.0116/hour (t3.micro)
$0.0120/hour (B1s)
Reserved Instance Discount (1-year)(%)
up to 72%
up to 72%
Starting Monthly Price(USD)
Pay-as-you-go from $0
—
Free Tier Database Storage(GB)
0.75GB RDS micro (750 hours/month)
—
Serverless Function Cost per 1M Requests(USD)
$0.20
—
Minimum Monthly Cost (Paid Tier)(USD)
$0 (pay-per-use only)
—
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
—
Basic Compute Instance Hourly Cost(USD/hour)
$0.0106/hour
—
Monthly Compute Instance Cost(USD/month)
$7.60/month
—
Entry-Level Pricing(USD/month)
$15/month (1-core VM)
—
Base Compute Cost (per DBU/hour)(USD)
$0.055-$0.116 (Standard_D4s_v3)
—
Starting Compute Instance Cost (monthly)(USD)
$25-35
—
Free Tier Data Egress (daily)(GB)
Limited tier
—
Managed Kubernetes Pricing (Per Cluster)(USD/month)
$73 (AKS standard)
—
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(regions)
33 regions
60 regions
Show 9 more attributes
Multi-Cloud Support(clouds supported)
AWS only
Azure only (with hybrid via Stack)
Global Data Centers(regions)
31 regions
60+ regions
Global Edge Locations(cities/regions)
600+
60+ regions
Native Database Options(count)
24+ (RDS, DynamoDB, Aurora, Redshift, etc.)
—
Global Regions(regions)
33
60 regions
Global Region Availability(regions)
60+ native
—
Available Regions(regions)
60 regions
—
Available Cloud Regions(regions)
60 regions
—
Cloud Platform Options(clouds)
Azure only
—
Container Serverless Performance
Fargate (feature-rich)
Container Instances (mature)
Market Share 2026(%)
32%
23%
Global Market Share (2026)(%)
32%
52%
Global Market Share(%)
32%
23%
Global Market Share (Cloud IaaS)(%)
32%
23%
Cloud Market Share(percentage)
32% of public cloud (2024)
—
Show 1 more attribute
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
—
AI/ML Pre-built Services(count)
180+ services
—
Hybrid Cloud Support Level(capability)
Moderate (Outposts)
Excellent (Stack/Arc)
SQL Server Database Support(text)
RDS for SQL Server (third-party)
Azure SQL Database (native)
Windows/Active Directory Integration(native score)
4/10
10/10
Windows Server Optimization
Native, optimized licensing
—
Developer Community Size(forum posts)
Largest
Large
Premium Support Response Time(minutes)
1 hour (Business Support)
15 minutes
Enterprise Support Response SLA(minutes)
60 minutes (Premium Support)
—
Container/Kubernetes Strength(native integration)
Strong (ECS/EKS)
Strong (AKS)
BigQuery-Grade Analytics(capability)
Via Athena/Redshift
Via Synapse
Supported Cloud Providers(count)
AWS only
—
Available Services/Integrations(count)
190+ native services
—
Available Services(count)
200+ services
200+ services
Total Cloud Services(count)
200+
200+
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)
—
Average Global Latency(milliseconds)
50-150ms
—
Show 9 more attributes
Serverless Function Timeout(minutes)
15 minutes
—
Max Serverless Memory(GB)
10 GB
—
Data Warehouse Query Speed (Typical)(seconds)
5-15 seconds (Synapse)
—
Spark 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)
—
Spark Query Performance (vs baseline)(x faster)
1-3x (HDInsight standard)
—
Serverless Function Cold Start Time(milliseconds)
600ms avg
—
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+
—
Number of Available Services/Products(count)
200+
—
Available Services/Features(count)
200+ services
—
ML Training Setup Time(hours)
8-12 hours (SageMaker)
—
Kubernetes Integration Complexity(manual steps)
18-25 steps (EKS setup)
—
Minimum Setup Time(minutes)
120 minutes
—
Supported Programming Languages for IaC(languages)
3 languages (YAML, JSON, TypeScript/Python/Java via CDK)
—
Deployment Time from Git Push(seconds)
300-900 (5-15 minutes)
—
Show 1 more attribute
Setup Complexity (Learning Hours Required)(hours)
40+ hours for foundational AWS certification
—
BigQuery Query Latency(seconds)
15-30 seconds (Athena, 1TB scan)
—
Enterprise Support Annual Cost(USD)
$15,000
—
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+
—
AI/ML Services(count)
25+
—
Show 3 more attributes
Platform Services Offered(services)
200+ services
—
Total Service Offerings(services)
200+
—
AI/ML Service Count(services)
75+ (OpenAI, Vision, Language, Anomaly Detector)
—
Setup Time to First Deploy(minutes)
45-60 (configure VPC, IAM, EC2, security groups)
—
Estimated Learning Time for New Developer(hours)
80-100 hours
—
Setup Time (Minutes)(minutes)
120+ minutes (full configuration)
—
Setup Time(minutes)
30-60+ minutes (account setup, IAM, networking)
—
Average Learning Curve(weeks to productivity)
8-12 weeks
—
Show 1 more attribute
Setup Complexity (1-10 scale)(difficulty score)
8/10 (steep)
—
SLA Uptime Guarantee(percent)
99.99% (us-east-1 region)
—
Uptime SLA Guarantee(percent)
99.99% (multi-region)
99.99%
Uptime SLA(percent)
99.95%
—
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)
—
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
—
Global Regions Available(regions)
32 regions
—
DDoS Protection Included
No (Shield Advanced: $3,000/month)
—
Maximum DDoS Mitigation Capacity(Tbps)
~700 Gbps (AWS Shield Advanced)
—
Basic DDoS Protection Included
Layer 3/4 only (Advanced costs $3,000+/mo)
—
DDoS Protection Capacity(Tbps)
10 Tbps standard protection
—
Compliance Certifications(count)
90+ (HIPAA, FedRAMP, SOC 2, ISO 27001)
—
Show 1 more attribute
Data Security (Encryption)(standard)
AES-256, customer-managed keys
—
Dedicated Database Services(services)
15+ (RDS, DynamoDB, Redshift, etc.)
—
Machine Learning Service Maturity(years)
SageMaker (launched 2017)
Azure ML (launched 2014)
ML Frameworks Supported(count)
40+ frameworks
—
Time to First Deployment(minutes)
120-240 minutes
—
Number of Integrated Services(services)
200+ services
—
Cost at 1 Million Daily Active Users(USD per month)
$3,000-8,000 (optimized EC2 + RDS)
—
Database Query Flexibility(complexity level)
Extensive—full SQL, custom queries, advanced analytics
—
Developer Adoption Rate(%)
32% of developers use AWS
—
Community Q&A Presence (Stack Overflow)(questions)
500,000+ questions
—
Total Services/Products(count)
200+
—
Total Cloud Services Available(services)
200+ (all cloud categories)
—
Compute Instance Pricing (on-demand)(USD/vCPU/hour)
$0.0535
—
Free Tier Credit Duration(months)
12 months
—
BigQuery Query Performance (1TB test)(seconds)
N/A (Redshift: 8-12s)
—
Fortune 500 Adoption Rate(%)
65%
~95%
ML Service Leader(text)
SageMaker (good, broad)
—
Native ML Ops Tools(tools included)
Azure ML, AutoML (separate setup)
—
Microsoft Ecosystem Integration
Deep (Office 365, Teams, Dynamics, Power BI native)
—
Microsoft Enterprise Integration
Native (Office 365, Teams, Dynamics, AD)
—
Data Governance Features(key capabilities)
Azure Purview, Synapse governance, encryption
—
Typical Enterprise Migration Time(months)
6-12 months (full cloud migration)
—
Data Governance Granularity(access level)
Database and table-level basic
—
Enterprise Service Count(services)
500+
—
ACID Transaction Support(boolean)
Limited (requires workarounds)
—
Supported Programming Languages (Workers/Serverless)(languages)
Node.js, Python, Java, .NET, Go, C# (Functions)
—
Time to Deploy First VM(minutes)
30-60
—
Free Tier Credit(USD)
$200 (30 days)
—
Free Trial Credit(USD)
$200 (30 days)
—
Free Trial Duration(days)
30 days ($200 credit)
—
AI/ML Service Portfolio(services)
70+ services
—
Oracle Database Performance Optimization(%)
Third-party optimization
—
Database Optimization for Oracle Workloads(performance %)
Baseline (100%)
—
Red Hat OpenShift Integration
Available (separate purchase)
—
Database Services Offered(services)
12+ databases
—
Maximum Virtual Machine RAM(GB)
11,904 GB
—
Setup Time to First Deployment(minutes)
15-20 minutes (average)
—
AI/ML Service Coverage(percentage)
50+ pre-built AI models, full ML platform
—
Enterprise Compliance Certifications(count of major certifications)
HIPAA, FedRAMP, PCI-DSS, SOC2, ISO 27001
—
Monthly Billing Transparency(score)
Complex: 100+ pricing tiers, reserved instances, spot pricing
—
Native Data Lakehouse(boolean)
No (requires external solutions)
—
Power BI Integration(integration level)
Native, no additional setup
—
Multi-workspace Collaboration(users per workspace)
Shared resources via RBAC
—
Database Autonomous Administration Coverage(%)
40%
—
Pros & Cons
10 pros·5 cons across both
AW
AW
Amazon Web Services (AWS)
+5-3
Pros
Largest ecosystem with 200+ services and most third-party integrations
Industry-leading AI/ML capabilities with SageMaker, recognized by 78% of ML practitioners
Most competitive pricing with Reserved Instances (up to 72% savings) and free tier
Strongest documentation and largest community with 4M+ active users
Superior elasticity and auto-scaling for unpredictable workloads
Cons
Steep learning curve with complex pricing across multiple tiers and regions
Weaker native integration with Microsoft products (Office, Active Directory, SQL Server)
Less mature hybrid cloud solution (AWS Outposts launched 2019 vs Azure Stack 2015)
Microsoft Azure
+5-2
Pros
Native integration with Microsoft 365 and Active Directory eliminating licensing complexity
60+ global regions (vs AWS's 33) providing lowest latency for more geographies
Mature hybrid cloud with Azure Stack, allowing true on-premises/cloud continuity
Superior Windows Server and SQL Server support with license mobility
Strong enterprise support with Azure Advisor for optimization recommendations
Cons
Higher baseline costs for non-Microsoft workloads (Linux VMs cost ~3% more than AWS equivalents)
Smaller AI/ML community and fewer specialized data science tools vs AWS SageMaker
Frequently Asked Questions
5 questions
/
AWS generally offers 3-5% lower baseline compute costs through aggressive pricing and Reserved Instances up to 72% off. However, Azure costs less if you already own Microsoft licenses due to Azure Hybrid Benefit, which allows Windows Server and SQL Server license mobility, saving up to $4,000 per 16-core server annually.
Yes, significantly. Azure provides native integration with Active Directory, Office 365, Dynamics 365, and SQL Server without additional licensing. 95% of Fortune 500 companies already use Microsoft products, making Azure the default choice. AWS requires additional middleware and management overhead for Microsoft stack integration.
AWS Outposts (launched 2019) provides hybrid capabilities but is newer and less mature than Azure Stack (launched 2015). Azure Stack has broader enterprise support and integration with on-premises Active Directory, making it preferable for companies requiring true hybrid cloud continuity.
Azure has 60+ regions vs AWS's 33 regions, covering more geographies including additional coverage in Europe, Asia-Pacific, and government clouds. For multi-region deployments prioritizing latency, Azure offers better geographic distribution and is particularly stronger in European and sovereign cloud markets.
AWS SageMaker is generally preferred by ML practitioners with 78% of surveys favoring AWS for AI/ML due to more mature tools, stronger community support, and superior documentation. However, Azure ML is catching up with better integration for enterprises already using Microsoft Cognitive Services and enterprise ML governance tools.
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