Dragonfly Cloud is now available in the AWS Marketplace - learn more

Question: Is MySQL an In-Memory Database?

Answer

No, MySQL is not primarily an in-memory database. MySQL is a relational database management system based on SQL – Structured Query Language. It's often used for web-based applications and supports both on-disk and in-memory storage methods. However, it isn't designed specifically as an in-memory database like Redis or Memcached.

You can configure MySQL to act more like an in-memory database by using the MEMORY (or HEAP) storage engine, which creates tables with contents that are stored in memory. But this has its limitations like data loss on server restart and no support for BLOB/TEXT data type columns.

Here is a simple example of how you could use MySQL as an in-memory database:

CREATE TABLE `my_table` ( `id` int(11) NOT NULL AUTO_INCREMENT, `data` varchar(255) DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=MEMORY;

In this example, my_table will be stored in memory and will have fast read-write access. But remember, this data will be lost if the server is restarted.

Please note, if your requirement is for an in-memory database, there are other technologies better suited to this task, such as Redis or Memcached. These databases are designed from the ground up as in-memory stores and offer features like built-in replication, persistence options, complex data structures, etc.

Was this content helpful?

White Paper

Free System Design on AWS E-Book

Download this early release of O'Reilly's latest cloud infrastructure e-book: System Design on AWS.

Free System Design on AWS E-Book

Switch & save up to 80% 

Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement. Instantly experience up to a 25X boost in performance and 80% reduction in cost