AWS vs Azure: Pricing Comparison for Small Teams (2026)

AWS leads with 31% global cloud market share versus Azure's 25% (Synergy Research, Q3 2025). Both offer 200+ services, but they aren't mirror images. AWS has more granular instance types. Azure integrates deeply with Microsoft tooling. Here's the snapshot.

The table highlights a key theme: neither provider is universally cheaper. AWS offers broader service choice and more instance families. Azure gives you significant Windows licensing advantages and zero-cost cross-AZ traffic. Your stack determines which one saves you more.

For small teams, the differences become sharper. A three-person team running a .NET API on Windows Server will pay meaningfully less on Azure. That same team running containerized Node.js services will find AWS's ECS Fargate pricing and broader container tooling more cost-effective. Let's look at the numbers.

If you're also evaluating Google Cloud, see our AWS vs GCP pricing comparison and Azure vs GCP pricing comparison for three-way coverage.

Compute is typically 60-70% of a small team's cloud bill, making it the single most important pricing comparison. AWS offers 750+ instance types across 100+ families (AWS EC2 documentation), while Azure offers roughly 200+ VM sizes. On Linux, list prices land within 5-10% of each other for equivalent specs.

For a typical small team running two or three instances, the on-demand price difference amounts to a few dollars per month. That gap doesn't justify a migration decision on its own. Where pricing actually diverges is in discount mechanisms and OS licensing.

AWS Savings Plans vs Azure Reservations

Both providers offer reserved pricing that cuts costs by up to 72% for 3-year commitments (AWS Savings Plans, Azure Reserved Instances). AWS Savings Plans are more flexible: they apply across instance families, regions, and even services like Fargate and Lambda. Azure Reservations are instance-specific but combine with Hybrid Benefit for deeper Windows savings.

The Azure Hybrid Benefit advantage

If you run Windows Server or SQL Server, Azure Hybrid Benefit changes the math entirely. Teams with existing Microsoft licenses can save 40-55% on Azure VMs compared to paying full Windows licensing costs (Azure Hybrid Benefit documentation). AWS doesn't offer an equivalent program. A D4s_v5 running Windows on Azure with Hybrid Benefit costs roughly what AWS charges for a Linux m5.xlarge. That's a substantial edge for .NET shops.

What about burstable instances? AWS's T3 family and Azure's B-series both offer credit-based bursting for variable workloads. AWS gives you more granular sizing options (t3.nano through t3.2xlarge), while Azure's B-series starts slightly higher but offers comparable performance per dollar. For small teams with unpredictable traffic, either works well.

Managed database costs vary sharply by engine. For PostgreSQL and MySQL, both providers price within 10-15% of each other. For SQL Server specifically, Azure SQL Database undercuts AWS RDS by 20-45% once Hybrid Benefit applies (Azure SQL pricing). Your database engine choice drives the pricing decision more than the cloud provider.

PostgreSQL and MySQL: a near tie

AWS RDS for PostgreSQL (db.t3.medium, 2 vCPU, 4 GB) runs approximately $50/month on demand in US East. Azure Database for PostgreSQL Flexible Server with equivalent specs costs roughly $52/month. Add 100 GB of storage and both land near $62-65/month total. These are rounding-error differences for a small team.

The real differentiator at this tier is the free tier and credits. AWS offers 750 hours/month of db.t3.micro for 12 months. Azure's free tier includes 750 hours of Flexible Server (Burstable B1ms) for 12 months. Both are generous enough to run a development or staging database at zero cost during your first year.

SQL Server: where Azure pulls ahead

SQL Server is where the pricing gap widens. AWS RDS for SQL Server includes the license cost in the hourly rate. Azure SQL lets you bring your own license through Hybrid Benefit, stripping out the Windows and SQL Server licensing premium. For a team already paying for Microsoft 365 E5 or SQL Server licenses through an Enterprise Agreement, this reduces the Azure database bill by 40-55%.

Azure SQL also offers a serverless tier that auto-pauses after inactivity. For development databases that sit idle 16+ hours per day, this can cut costs by another 60-70% compared to always-on provisioning. AWS RDS doesn't offer an equivalent auto-pause for SQL Server workloads.

Should you pick your cloud provider based on your database? For most small teams, no. But if SQL Server is your primary database and you already hold Microsoft licenses, Azure is the clear cost winner. For everything else, the price difference won't move the needle.

Standard object storage pricing is nearly identical: AWS S3 Standard charges $0.023/GB/month and Azure Blob Hot tier charges $0.018/GB/month in US East (AWS S3 pricing, Azure Blob pricing). For a team storing 500 GB, that's roughly $11.50 on AWS versus $9 on Azure per month. The bigger cost driver is access patterns and lifecycle policies.

Access tiers and lifecycle management

Both providers offer tiered storage: hot (frequent access), cool/infrequent, and archive/glacier. AWS S3 Glacier Deep Archive runs $0.00099/GB/month. Azure Archive Storage sits at $0.00099/GB/month as well. At the archive tier, they're priced identically.

The difference shows up in lifecycle automation. S3 Lifecycle rules are straightforward: transition objects between tiers based on age. Azure Blob lifecycle management adds last-access-time tracking, which lets you move objects to cool storage based on actual usage rather than arbitrary time rules. For teams with unpredictable access patterns, Azure's approach avoids paying hot-tier prices for data nobody's touched in months.

Request pricing: the hidden variable

Storage costs aren't just about capacity. S3 charges $0.005 per 1,000 PUT requests and $0.0004 per 1,000 GET requests. Azure Blob Hot charges $0.0065 per 10,000 write operations and $0.0005 per 10,000 read operations. For read-heavy workloads (serving images, logs analysis), AWS's per-request pricing tends to cost slightly more at scale.

For a small team storing under 1 TB, the monthly storage difference between S3 and Azure Blob amounts to less than the cost of a team lunch. Don't let storage pricing drive your provider decision unless you're storing tens of terabytes or more.

Cross-availability-zone data transfer is one of the least discussed but most impactful pricing differences. AWS charges $0.01 per GB for traffic between availability zones in the same region (AWS data transfer pricing). Azure doesn't charge for cross-AZ traffic within the same region (Azure bandwidth pricing). For multi-AZ architectures, this gap adds up fast.

Consider a small team running a web app across two AZs for high availability (which AWS itself recommends). If your app, database replicas, and cache generate 500 GB/month of cross-AZ traffic, that's $5/month on AWS and $0 on Azure. Scale that to 5 TB/month and you're paying $50/month on AWS for traffic that's free on Azure. We've seen teams surprised by this line item because it doesn't show up in simple pricing calculators.

Egress pricing: similar but not identical

Internet egress (data leaving the cloud) is the bigger cost at scale. AWS charges $0.09/GB for the first 10 TB/month. Azure charges $0.087/GB for the same tier. Both providers have been reducing egress costs under competitive pressure, but the rates remain high relative to ingress (which is free on both).

AWS does offer a hidden advantage here: its massive CDN (CloudFront) provides reduced egress rates of $0.085/GB for the first 10 TB. If you're already using CloudFront, your effective egress rate drops further with volume. Azure CDN pricing follows a similar tiered structure. For small teams, the egress difference between providers rarely exceeds $10-20/month.

The real takeaway? If you run multi-AZ architectures with significant internal traffic, Azure's zero cross-AZ cost is a genuine advantage. For egress-heavy workloads serving content to end users, both providers are expensive and you should be using a CDN regardless.

After comparing every category, the answer isn't "AWS is cheaper" or "Azure is cheaper." It's that workload profile determines cost. Organizations waste 27% of cloud spend on average (Flexera, 2025), and most of that waste comes from poor sizing and unused commitments — not from picking the wrong provider.

Here's a simple decision framework based on what we've seen work for small teams.

Pick Azure if...

You run Windows Server or SQL Server workloads. Hybrid Benefit alone saves 40-55%, which no amount of AWS optimization can match. You're a Microsoft shop using Active Directory, Teams, and Office 365 — Azure's identity integration simplifies operations. You run multi-AZ architectures with heavy internal traffic, where cross-AZ savings matter.

Pick AWS if...

You need niche services that Azure doesn't offer or offers as a less mature alternative. You run Linux containers and want the broadest ecosystem (ECS, EKS, Fargate, App Runner). You're a startup comfortable with the AWS free tier and its extensive documentation community. Your team already knows AWS — switching costs are real.

Running both? Focus on optimization, not migration

Many small teams end up on both providers — AWS for infrastructure, Azure for Microsoft 365 identity or a specific service. That's fine. The 27% waste rate (Flexera, 2025) comes from poor resource management, not from running multi-cloud. Rightsizing a single overprovisioned instance saves more than migrating between providers ever will.

Before committing to either provider, use our cloud cost estimation guide to model your expected spend across compute, storage, and data transfer.

Want to compare actual costs for your specific configuration? Our cloud cost calculator lets you model both AWS and Azure workloads side by side with real pricing data. It takes about two minutes to get a ballpark for your stack.