What is Amazon Aurora ?
Amazon Aurora is a fully managed relational database service that is compatible with both MySQL and PostgreSQL. It is designed to be highly available, highly scalable, and performant, making it a popular choice for applications that require a high level of reliability and performance. Aurora is part of the Amazon Web Services (AWS) ecosystem and can be easily integrated with other AWS services, such as Elastic Block Store (EBS) for storage and Elastic Load Balancing for load balancing. Additionally, Aurora offers automated backups, software patching, and automatic failure detection and recovery, making it relatively easy to manage and maintain.
What is MySQL?
MySQL is a popular open-source relational database management system (RDBMS). It is widely used for web-based and other applications that require a reliable and fast database management system. MySQL stores data in relational tables and uses SQL (Structured Query Language) for database access.
MySQL is known for its reliability, performance, and ease of use. It supports a wide range of operating systems, including Windows, Linux, and macOS. It can be used for small to medium-sized databases as well as for large, high-traffic websites.
MySQL is a popular choice for web-based applications because it can handle high loads and can be easily integrated with scripting languages such as PHP, Perl, and Python. MySQL also provides a variety of management tools, such as the MySQL command-line client and the MySQL Workbench, which make it easy to administer and manage the database.
MySQL is also part of the LAMP (Linux, Apache, MySQL, PHP/Perl/Python) stack, a popular software bundle used for developing dynamic websites and web-based applications. MySQL also part of other LMS stack as well like WAMP ( Windows Apache MySQL PHP) and MAMP (macOS Apache MySQL PHP)
It’s worth mentioning that MySQL has a number of different forks and alternatives, like MariaDB, Percona Server, and more. They all have a similar feature set, but some have additional features, performance improvements, and enhancements to the core MySQL codebase.
Amazon Aurora vs MySQL
Here is a comparison matrix between Amazon Aurora and MySQL:
| Feature | Amazon Aurora | MySQL |
|---|---|---|
| Data durability | 5x-10x more durable | 3x more durable |
| Performance | Up to 3x faster | Depends on the configuration |
| Scale-out | Automatic, with no downtime | Requires manual sharding |
| High availability | Built-in, with automatic failover | Can be added with additional software or services |
| Compatible with other AWS services | Yes | yes, but not tightly integrated |
| Cloud native service | Yes, fully managed by AWS | Can be deployed in AWS but not fully managed by AWS |
| Cost | Generally more expensive | Generally less expensive |
It’s worth noting that Amazon Aurora is designed to be compatible with MySQL and PostgreSQL and also provides features like faster read and write performance, automatic scaling, and built-in high availability and disaster recovery, while MySQL is open-source Relational Database. In addition, while MySQL can be deployed on AWS, it would need additional software or services to achieve the same functionality as Amazon Aurora.
Keep in mind, this is high level and general comparison, it’s recommended to check and evaluate the specific requirements and constraints for your application before making a decision.