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Ibrar Hussain
Ibrar Hussain

Posted on • Originally published at Medium

RDS MySQL vs. Aurora: A Comprehensive Performance Guide

Whenever we create a new Laravel application, MySQL (community edition) is our default choice, and it might be yours too. It's easy to use and performs well. However, if your project involves substantial and growing data, you might have noticed increased response times in your APIs. In a recent effort to optimize our project and reduce API response times, we explored AWS Aurora (MySQL-Compatible) and decided to use it instead of MySQL for our production server.

Aurora is a fully managed relational database engine compatible with MySQL and PostgreSQL.

Here's a brief comparison of RDS MySQL and Aurora:

Performance Comparison

1. Read and Write Performance


  • Performance depends on the selected instance type.
  • Read scalability is achieved through read replicas.


  • Outperforms MySQL in read and write operations.
  • Its distributed architecture enhances both read and write scalability.

2. Replication


  • Replication is available, but it may impact overall performance.
  • Read replicas operate asynchronously.


  • Aurora Replicas provide low-latency, high-throughput read scalability.
  • Storage-based replication boosts overall performance.

3. Considerations for Cost Efficiency


  • Cost-effective for smaller workloads.
  • Suitable for applications with moderate performance requirements.


  • High performance can justify the higher cost.
  • Cost-efficient for large-scale, high-traffic scenarios.

Choosing Between RDS MySQL and Aurora

Consider Your Workload:

  • MySQL might be more cost-effective for smaller workloads.
  • Aurora is suitable for demanding applications with high-performance requirements.

Evaluate Your Budget:

  • MySQL is more budget-friendly but may have limitations in performance.
    • Aurora's higher cost may be justified for applications demanding top-notch performance.

Scalability Requirements:

  • If seamless scalability is crucial, Aurora's automatic scaling capabilities could make it the preferred choice.

Choosing between MySQL and Aurora comes down to your application needs and budget requirements. The auto load balancing feature in Aurora adds an extra layer of reliability by seamlessly transitioning to a replica in case the main Writer instance goes down. This dynamic adaptability sets Aurora apart, ensuring uninterrupted service.

I hope this comprehensive guide provides you with the insights needed to make an informed decision aligned with your business goals.

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