Amazon Aurora vs. Amazon RDS: Choosing the Right Database Service for Your Needs

Bruno Peixoto
3 min readOct 25, 2023

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When it comes to choosing a managed database service for your applications on AWS, you’re likely to encounter two popular options: Amazon RDS (Relational Database Service) and Amazon Aurora. Both offer powerful database management capabilities, but they have distinct features and use cases. In this comprehensive comparison, we’ll dive into the key differences between Amazon Aurora and Amazon RDS to help you make an informed decision.

Introduction

Amazon RDS and Amazon Aurora are fully managed database services that take the operational overhead out of database administration. They handle essential tasks like patching, backups, and failover, allowing you to focus on your application. However, the choice between the two depends on your application’s specific requirements.

Both symbols for AWS RDS and AWS Aurora

Database Engine Compatibility

Amazon RDS:

  • Supports multiple database engines, including MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and MariaDB.
  • Allows you to choose the engine that best aligns with your application and data structure.

Amazon Aurora:

  • Compatible with MySQL and PostgreSQL database engines.
  • Offers high compatibility with both engines, ensuring a smooth migration path for your existing applications.

Architecture

Amazon RDS:

  • Utilizes a single-master, multiple-replica architecture.
  • Provides one primary (master) instance for read-write operations and optional read replicas for read scalability.

Amazon Aurora:

  • Features a unique, distributed, and replicated storage system.
  • Uses a multi-master, shared storage model with multiple read/write nodes, offering high availability and fault tolerance.

Performance

Amazon RDS:

  • Offers excellent performance for many workloads.
  • Performance often depends on the capacity of the primary instance, particularly for write-heavy workloads.

Amazon Aurora:

  • Designed for high performance and can handle heavy read and write workloads.
  • The distributed nature and advanced storage system often lead to superior performance compared to RDS for most use cases.

Scaling

Amazon RDS:

  • Scaling options include adding read replicas for read-heavy workloads and vertically scaling the primary instance.
  • Horizontal scaling (increasing write capacity) is generally limited.

Amazon Aurora:

  • Allows both vertical and horizontal scaling.
  • Add read replicas for read scaling and leverage Aurora Auto-Scaling for automatic capacity adjustments based on demand.

High Availability and Fault Tolerance

Amazon RDS:

  • Achieves high availability through Multi-AZ deployments with synchronous replication.
  • In case of failure, RDS promotes the standby to the primary role.

Amazon Aurora:

  • Offers superior availability and fault tolerance compared to RDS.
  • Data is replicated across multiple Availability Zones with continuous backup and automated failover, even in the event of an entire Availability Zone failure.

Data Replication

Amazon RDS:

  • Provides read replicas for some database engines like MySQL and PostgreSQL.
  • Replication can sometimes lag behind the primary instance.

Amazon Aurora:

  • Replicates data with minimal lag, making it suitable for scenarios requiring near real-time replication and read scaling.

Cost

Amazon RDS:

  • Pricing varies by the database engine, instance type, and storage capacity.
  • The total cost depends on the specific RDS configuration.

Amazon Aurora:

  • Priced based on instance type and storage capacity.
  • In many cases, Aurora can provide better performance for a similar or slightly higher cost compared to RDS.

Conclusion

In the Amazon Aurora vs. Amazon RDS battle, the choice boils down to your specific use case, requirements, and budget. While RDS is a suitable choice for traditional, single-master relational databases and offers compatibility with various database engines, Aurora shines when you need high performance, scalability, low-latency replication, and superior availability.

Selecting the right database service is crucial for the success of your application. Carefully consider your needs, data volume, performance expectations, and budget to make the right choice between Amazon RDS and Amazon Aurora. Each service offers unique advantages, ensuring a solution tailored to your database demands.

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Bruno Peixoto

A person. Also engineer by formation, mathematician and book reader as hobby.