AWS RDS Aurora: When Switching from Standard MySQL Is Worth It

Aurora vs. Standard RDS: The Facts

Amazon Aurora is MySQL-compatible but uses a completely different storage architecture. The result: better performance, higher availability — but also higher costs.

When Aurora Makes Sense

• High Availability Requirements: Aurora automatically replicates data across 3 Availability Zones with a recovery point of less than one second.
• Read-Intensive Workloads: Up to 15 read replicas with minimal replication lag — ideal for reporting and analytics alongside operational workloads.
• Variable Traffic: Aurora Serverless v2 scales automatically based on current load — you only pay for what you use.
• Large Databases: Aurora supports up to 128 TB of storage that grows automatically in 10 GB increments.

When Standard RDS Is Sufficient

• Small to Medium Applications: Under 100 GB database size and fewer than 10,000 queries per second.
• Budget-Sensitive Projects: Aurora costs approximately 20-30% more than comparable RDS MySQL instances.
• Simple Setups: When Multi-AZ with RDS already meets your availability requirements.

Our Experience

In practice, we recommend Aurora for all projects where the database is business-critical and downtime directly incurs costs. For development and staging environments, we continue to use standard RDS — the cost savings justify the minimal performance difference.