AWS vs Azure Pricing 2026 — Cloud Cost Comparison

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AWS

Pay-as-you-go

Market leader, broadest services

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Azure

Pay-as-you-go

Microsoft integration, lower enterprise cost

📊 Quick Verdict

Choose AWS if: You need cutting-edge infrastructure, want the broadest service catalog, or run Linux/open-source workloads. Mature tooling and largest community. Best for tech startups and scale-up companies.

Choose Azure if: You're already invested in Microsoft (Office 365, SQL Server, Visual Studio), need hybrid cloud, or run Windows workloads. Significantly cheaper for Microsoft shops. Best for enterprises and legacy Windows operations.

💰 Core Compute Pricing

Prices are on-demand (hourly), us-east-1 / East US region, for equivalent instance types:

Instance Type	AWS	Azure	Winner
2 vCPU, 8 GB RAM	$0.0416/hour t3.medium	$0.0480/hour B2s	AWS -13%
4 vCPU, 16 GB RAM	$0.0832/hour t3.large	$0.0960/hour B2ms	AWS -13%
8 vCPU, 32 GB RAM	$0.1664/hour t3.xlarge	$0.1920/hour B4ms	AWS -13%
16 vCPU, 64 GB RAM	$0.3328/hour m5.4xlarge	$0.2880/hour D4s_v3	Azure +13%*

*General-purpose Azure VMs cheaper than AWS general-purpose above 8 vCPU. This flips for compute-optimized or GPU instances (AWS wins).

💾 Storage Costs

Service	AWS	Azure	Winner
Object Storage (100 GB/mo)	$2.30/month S3 Standard	$1.99/month Blob Standard	Azure -13%
Managed Database (1 TB)	$200–$500/month RDS Multi-AZ	$150–$400/month SQL Database	Azure -25%
Backup (1 TB retention)	$20/month AWS Backup	$15/month Azure Backup	Azure -25%

💸 Team/Startup Cost Analysis (Annual)

Typical Startup: 2 Web Servers + DB + 500 GB Storage

AWS (2x t3.medium + RDS + S3) $6,800–$7,200/year

Azure (2x B2s + SQL Db + Blob) $6,200–$6,700/year

Savings with Azure $500–$800/year (-10%)

Microsoft Shop: Office 365 + SQL Server + AD + 5 Developers

AWS standalone (no Microsoft licensing) $8,000+/year

+ SQL Server on EC2 licensing +$4,000–$6,000/year

Azure (included Microsoft licensing) $6,000–$7,000/year

Azure savings (Microsoft stack) $6,000–$12,000/year (-50%)

Enterprise: Reserved Instances + Volume Discounts

Both platforms offer massive savings (30–55% off on-demand) with 1-3 year commitments. Azure typically offers slightly better enterprise discounts for Windows/Microsoft workloads.

🎯 Feature Comparison Matrix

Feature	AWS	Azure
Global Regions	✓ 33 regions (most)	✓ 60 regions (most coverage)
Compute (EC2/VMs)	✓ Broadest selection	✓ Good, fewer SKUs
Databases (RDS/Managed DB)	✓ RDS (mature, expensive)	✓ SQL DB (cheaper, but proprietary focus)
Kubernetes (EKS/AKS)	✓ EKS (expensive, mature)	✓ AKS (cheaper, excellent)
Container Registry	✓ ECR (mature)	✓ ACR (simpler, free tier)
Hybrid Cloud (on-prem + cloud)	~ Possible but awkward	✓ Azure Stack (native hybrid)
Windows/SQL Server	~ Works, licensing expensive	✓ Native, included licensing advantage
AI/ML Services	✓ SageMaker (mature, broad)	✓ Azure ML (tight Azure integration)
DevOps (CI/CD)	✓ CodePipeline + third-party	✓ Azure DevOps (all-in-one, free tier)
Community & Support	✓ Largest community, most tutorials	~ Smaller community, growing

🔍 Key Differences

AWS's Strengths

Broadest service catalog: 200+ services vs Azure's 100+. Cutting-edge features ship on AWS first
Largest community: Tutorials, forums, and third-party tools. Easier to hire AWS talent
Global maturity: 33 regions with longest track record. Most reliable operational practices
Open source ecosystem: Linux/Kubernetes tools integrated seamlessly
Startup-friendly: AWS credits programs, better for tech companies

Azure's Strengths

Microsoft integration: If running Windows/SQL Server/Office 365, Azure costs 30–50% less via license mobility
Hybrid cloud: Azure Stack enables on-prem + cloud seamlessly (AWS has no native equivalent)
Enterprise support: Compliance (FedRAMP, GxP), HIPAA, PCI certifications more mature
Better pricing for databases: SQL Database ~25% cheaper than RDS for equivalent spec
All-in-one tooling: DevOps, CI/CD, monitoring, infrastructure-as-code all included (vs AWS fragmentation)

❓ Frequently Asked Questions

Should we switch from AWS to Azure for cost savings? ▼

Unlikely to save if Linux-focused. AWS is 5–15% cheaper for generic Linux workloads. However, if you run Windows, SQL Server, or are a "Microsoft shop" (Office 365, Active Directory, Dynamics), Azure saves 30–50% via license mobility. Migration cost + operational disruption (6+ months) rarely justifies 10% savings for pure Linux workloads. Calculate TCO including migration cost before deciding.

Which is more expensive at scale? ▼

AWS for Linux, Azure for Windows. At 1000+ vCPU scale: AWS on-demand still higher, but both platforms offer 40%+ discounts with multi-year reserved instances. Cost parity is achievable with reserved instances on both. The real differentiator becomes operational cost: AWS requires more third-party tooling; Azure's all-in-one approach reduces operational overhead.

Should startups use AWS or Azure? ▼

AWS for tech startups, Azure for Microsoft-focused shops. Tech startups building greenfield products should default to AWS: broader community, more tutorials, better startup programs (AWS Activate), and easier hiring. Azure is better if: (1) founding team already knows Azure, or (2) enterprise customers require Azure, or (3) heavy Microsoft stack dependency.

How much can we save with reserved instances? ▼

30–55% depending on commitment. Both platforms offer: 1-year (25–30% off) and 3-year (35–55% off) reserved instances. Azure's 3-year commitment often slightly better (~5%) for Windows/SQL Server. Break-even: if workload is stable 6+ months, reserved instances pay for themselves. Use on-demand only for truly volatile or short-term projects.

Is multi-cloud (AWS + Azure) worth the complexity? ▼

Rarely, unless forced by customers. Multi-cloud adds operational complexity (billing, security, tooling) that typically costs more than the savings. Recommended only if: (1) enterprise customers mandate it, or (2) regulatory requirements force distribution (GDPR, FedRAMP, industry-specific compliance).

What about data transfer costs? ▼

Both charge egress, but models differ. AWS: ~$0.02/GB egress (can be expensive). Azure: Cheaper egress if data stays within Azure ecosystem. For data-heavy workloads, Azure can save 20–30% on transfer costs. AWS mitigates via CloudFront; Azure via CDN services. Ask your cloud architect to model data costs for your specific workload.

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