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Databases · head to head

Amazon Aurora vs Azure SQL

Amazon Aurora logo

Amazon Aurora

Databases

MySQL and PostgreSQL-compatible relational database built for the cloud

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: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Azure SQL ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Azure SQL covers Intelligent Performance.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Amazon Aurora and Azure SQL actually diverge.

Attributes where Amazon Aurora and Azure SQL differ
AttributeAmazon AuroraAzure SQL
Pricing modelusage-basedUnknown
PlatformsAWS CloudCloud (Microsoft Azure)
Founded20061975

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

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 Amazon Aurora

  • MySQL/PostgreSQL Compatible
  • 5x MySQL Performance
  • Auto-scaling Storage
  • Global Database
  • Serverless v2
  • Multi-master
  • Fault Tolerant
  • AWS Lambda

Only in Azure SQL

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

Both cover

  • Web support

What people use each for

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

Amazon Aurora

  • Transaction processing
  • Data storage
  • Application backend
  • Reporting
  • Data analytics

Azure SQL

  • Transaction processing
  • Data storage
  • Application backend
  • Reporting
  • Data analytics

Both are used for transaction processing, data storage, application backend, reporting, data analytics, 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.

Amazon Aurora

  • Aurora requires AWS ecosystem knowledge and integration with other AWS services
  • Pricing can become expensive with high-traffic applications using many read replicas
  • Limited support for non-relational data types compared to NoSQL alternatives

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

Amazon Aurora

Free
  • Serverless v2$0.12/hour
    • Auto-scaling
    • Pay per ACU
    • Instant scaling
  • Provisioned$29/month
    • Dedicated instances
    • Predictable performance
    • Reserved capacity

Azure SQL

Free

No published plan breakdown. See the Azure SQL review.

Which should you pick?

Choose Amazon Aurora if

  • You need mysql/postgresql compatible.
  • You want to start without paying.
  • You work on AWS Cloud.
  • You also want 5x mysql performance.
Amazon Aurora 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 Amazon Aurora or Azure SQL better?
Neither clearly leads. Amazon Aurora 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, Amazon Aurora or Azure SQL?
Amazon Aurora starts at Free and Azure SQL at Free.
Does Amazon Aurora or Azure SQL run on more platforms?
Amazon Aurora runs on AWS Cloud. Azure SQL runs on Cloud (Microsoft Azure).
Can I use Amazon Aurora for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon Aurora best used for?
Amazon Aurora is most often used for transaction processing, data storage, application backend, reporting.
What can Amazon Aurora do that Azure SQL cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Azure SQL covers Intelligent Performance, Advanced Security, Hyperscale, Serverless Compute. Both handle Web support.

Answered from the vendors’ own pages

Amazon Aurora: Is Amazon Aurora compatible with MySQL and PostgreSQL?

Yes, Amazon Aurora offers MySQL and PostgreSQL compatibility with full compatibility to their open-source counterparts, allowing you to migrate existing databases with standard tools.

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
Amazon Aurora: What uptime SLA does Amazon Aurora provide?

Aurora is designed for up to 99.99% single-region uptime and 99.999% multi-region uptime with automatic failover.

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
Amazon Aurora: How much does Amazon Aurora cost?

Aurora uses serverless, usage-based pricing where you pay only for consumed capacity. Typical pricing ranges from $50-70 per month for minimal setups to $400-600 per month for small production clusters.

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
Amazon Aurora: Can Amazon Aurora scale automatically?

Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.

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
Amazon Aurora: How many read replicas does Aurora support?

Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.

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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