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Amazon RDS vs Amazon RDS for Aurora: What are the differences?

# Introduction

1. **Data Storage**:
Amazon RDS uses various database engines like MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server, while Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud that offers up to five times the performance of standard MySQL databases.

2. **Fault Tolerance**: 
Amazon Aurora has a higher level of fault tolerance compared to Amazon RDS, with automatic and continuous backups to Amazon S3, six copies of data across three Availability Zones, and storage that is self-healing and fault-tolerant.

3. **Performance**: 
Amazon Aurora is designed for high-performance applications, offering up to five times the performance of standard MySQL databases. It is optimized for memory and storage, making it ideal for applications with demanding performance requirements.

4. **Scalability**: 
Amazon Aurora is designed for scalability, with the ability to automatically grow storage as needed, scale read replicas to handle increased read traffic, and support up to 15 read replicas without any impact on performance. Amazon RDS also supports scalability features but with certain limitations compared to Aurora.

5. **Pricing**: 
Amazon Aurora is typically more expensive than Amazon RDS due to its higher performance and fault-tolerance capabilities. While Amazon RDS offers various pricing options based on the database engine, instance type, and storage capacity, Amazon Aurora pricing is generally higher for the same configurations.

6. **Compatibility**:
Amazon RDS is compatible with multiple database engines, making it versatile for different applications, while Amazon Aurora is specifically designed for MySQL and PostgreSQL workloads and may not be suitable for applications using other database engines.

In Summary, Amazon Aurora offers higher performance, fault tolerance, and scalability compared to Amazon RDS, but at a higher cost and limited compatibility with database engines.

Decisions about Amazon Aurora and Amazon RDS
Phillip Manwaring
Developer at Coach Align · | 5 upvotes · 26.9K views

Using on-demand read/write capacity while we scale our userbase - means that we're well within the free-tier on AWS while we scale the business and evaluate traffic patterns.

Using single-table design, which is dead simple using Jeremy Daly's dynamodb-toolbox library

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Pros of Amazon Aurora
Pros of Amazon RDS
  • 14
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 9
  • 7
    Low latency read replica
  • 2
    High IOPS cost
  • 1
    Good cost performance
  • 165
    Reliable failovers
  • 156
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
  • 30
    Control iops, fast restore to point of time
  • 28
  • 24
  • 20
    Push-button scaling
  • 20
    Automatic software patching
  • 4
  • 3
  • 2

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Cons of Amazon Aurora
Cons of Amazon RDS
  • 2
    Vendor locking
  • 1
    Rigid schema
    Be the first to leave a con

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    What is Amazon Aurora?

    Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

    What is Amazon RDS?

    Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

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