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AWS (Amazon Web Services) vs Azure SQL

AWS (Amazon Web Services) logo

AWS (Amazon Web Services)

Cloud

The leading cloud computing platform

From
Free
Rated
-
Full reviewWebsite
Azure SQL logo

Azure SQL

Databases

Intelligent, scalable cloud database service from Microsoft

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS (Amazon Web Services) data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills; Azure SQL ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions
  • They diverge on capability: AWS (Amazon Web Services) covers EC2 - Virtual Servers, Azure SQL covers Intelligent Performance.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which AWS (Amazon Web Services) and Azure SQL actually diverge.

Attributes where AWS (Amazon Web Services) and Azure SQL differ
AttributeAWS (Amazon Web Services)Azure SQL
Pricing modelusage-basedUnknown
PlatformsWeb, Api, Cli, MobileCloud (Microsoft Azure)
CategoryCloudDatabases
Founded20061975

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in AWS (Amazon Web Services)

  • EC2 - Virtual Servers
  • S3 - Object Storage
  • RDS - Managed Database
  • Lambda - Serverless Computing
  • CloudFront - CDN
  • VPC - Virtual Network
  • IAM - Access Management
  • CloudWatch - Monitoring

Only in Azure SQL

  • Intelligent Performance
  • Advanced Security
  • Hyperscale
  • Serverless Compute
  • Geo-replication
  • Automatic Tuning
  • Built-in AI
  • Power BI

What people use each for

The jobs each tool is most often brought in to do.

AWS (Amazon Web Services)

  • Web hostingnot Azure SQL
  • Data storage
  • Machine learningnot Azure SQL
  • Big data analyticsnot Azure SQL
  • Application developmentnot Azure SQL

Azure SQL

  • Transaction processingnot AWS (Amazon Web Services)
  • Data storage
  • Application backendnot AWS (Amazon Web Services)
  • Reportingnot AWS (Amazon Web Services)
  • Data analyticsnot AWS (Amazon Web Services)

Both are used for data storage, on those jobs the choice comes down to price and fit rather than capability.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

AWS (Amazon Web Services)

  • Data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills
  • Discounts require one or three year Savings Plan commitments rather than being automatic
  • Every service is priced separately, so a working architecture has no single published cost
  • The free tier is a promotional allowance rather than an ongoing free plan

Azure SQL

  • Ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions
  • Managed service reduces control over database configuration and optimization tuning
  • Pricing complexity with consumption-based model can be unpredictable at scale
  • Less operational depth compared to Amazon RDS for advanced scaling scenarios
  • Azure PostgreSQL is less compelling than dedicated PostgreSQL providers outside Azure ecosystem

Pricing, plan by plan

AWS (Amazon Web Services)

Free
  • AWS Free TierFree
    • EC2 750 hours/month
    • 5GB S3 storage
    • 20GB data transfer
  • Pay-As-You-GoFree
    • No upfront payment
    • No long-term commitments
    • Pay only for what you use

Azure SQL

Free

No published plan breakdown. See the Azure SQL review.

Which should you pick?

Choose AWS (Amazon Web Services) if

  • You need ec2 - virtual servers.
  • You want to start without paying.
  • You work on Web, Api, Cli, Mobile.
  • You also want s3 - object storage.
AWS (Amazon Web Services) review

Choose Azure SQL if

  • You need intelligent performance.
  • You want to start without paying.
  • You work on Cloud (Microsoft Azure).
  • You also want advanced security.
Azure SQL review

Questions people ask

Is AWS (Amazon Web Services) or Azure SQL better?
Neither clearly leads. AWS (Amazon Web Services) starts at Free and Azure SQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS (Amazon Web Services) or Azure SQL?
AWS (Amazon Web Services) starts at Free and Azure SQL at Free.
Does AWS (Amazon Web Services) or Azure SQL run on more platforms?
AWS (Amazon Web Services) runs on Web, Api, Cli, Mobile. Azure SQL runs on Cloud (Microsoft Azure).
Can I use AWS (Amazon Web Services) for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS (Amazon Web Services) best used for?
AWS (Amazon Web Services) is most often used for web hosting, data storage, machine learning, big data analytics. Of those, web hosting and machine learning are not what Azure SQL is typically brought in for.
What can AWS (Amazon Web Services) do that Azure SQL cannot?
AWS (Amazon Web Services) covers EC2 - Virtual Servers, S3 - Object Storage, RDS - Managed Database, Lambda - Serverless Computing. Azure SQL covers Intelligent Performance, Advanced Security, Hyperscale, Serverless Compute.

Answered from the vendors’ own pages

AWS (Amazon Web Services): What are AWS's payment options and pricing models?

AWS offers four pricing approaches: pay-as-you-go (you pay only for what you use), flat-rate plans combining multiple services into one monthly price without overages, Savings Plans offering discounts on compute and machine learning with 1- or 3-year commitments, and volume-based tiered pricing where costs decrease as usage increases.

Source
Azure SQL: Does Azure SQL Database offer a free tier?

Yes, Azure SQL Database includes a permanent free tier that provides 100,000 vCore seconds, 32 GB of data storage, and 32 GB of backup storage per month. This free tier is available for the lifetime of any Azure subscription with no expiration.

Source
AWS (Amazon Web Services): Are there contracts, termination fees, or commitments required for AWS?

No long-term contracts are required for AWS services. No termination fees apply once you stop using the service. Savings Plans provide optional 1- or 3-year commitments with discounted hourly rates, but you can revert to pay-as-you-go pricing anytime.

Source
Azure SQL: What pricing models does Azure SQL Database support?

Azure SQL Database offers consumption-based pricing where you pay for resources used, with no long-term commitments required. Database Savings Plans launched in March 2026 allow committing to a fixed hourly amount and save up to 35% across Azure database services.

Source
AWS (Amazon Web Services): Does AWS offer a free tier?

AWS provides a free tier that offers hands-on experience with AWS products at no charge. The free tier allows new customers to try eligible services before committing to paid usage.

Source
Azure SQL: Is Azure SQL Database compatible with on-premises SQL Server?

Yes, Azure SQL Database shares the same Database Engine as on-premises SQL Server. Existing databases maintain their compatibility level and continue to work after upgrades. Azure SQL Managed Instance provides even broader SQL Server compatibility dating back to SQL Server 2008.

Source
AWS (Amazon Web Services): How do I estimate my AWS costs?

AWS provides the AWS Pricing Calculator and Cost Explorer tool to estimate costs for single or multiple services. AWS also offers cost optimization recommendations, performance reporting, and budget alerts to help track and control spending.

Source
Azure SQL: What high availability features does Azure SQL Database provide?

Azure SQL Database provides automatic backups, geo-replication for disaster recovery, failover groups for automatic failover, and zone redundancy for enhanced availability. The service maintains a 99.99% availability SLA for Business Critical tier.

Source
Azure SQL: Can I use AI features with Azure SQL Database?

Yes, Azure SQL Database includes Copilot for database tasks, Intelligent Applications support, REST API endpoints for building applications, and GraphQL endpoints for modern app development.

Source
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