{"id":110739,"date":"2026-09-22T12:00:00","date_gmt":"2026-09-22T12:00:00","guid":{"rendered":"https:\/\/www.red-gate.com\/simple-talk\/?p=110739"},"modified":"2026-08-25T08:50:21","modified_gmt":"2026-08-25T08:50:21","slug":"the-one-big-difference-between-mysql-and-mariadb-you-may-have-overlooked","status":"publish","type":"post","link":"https:\/\/www.red-gate.com\/simple-talk\/databases\/the-one-big-difference-between-mysql-and-mariadb-you-may-have-overlooked\/","title":{"rendered":"The one big difference between MySQL and MariaDB you may have overlooked"},"content":{"rendered":"\n

The big difference between MySQL and MariaDB largely revolves around database storage engines and anything related to them. In this article, I’ll walk you through some of the key differences between storage engines in MySQL and MariaDB, explain which is best for your use case, and detail how to change your database’s storage engine if necessary.\u00a0<\/strong><\/p>\n\n\n\n

Most of you will do just fine with InnoDB on either of the database management systems \u2013 however, those of you who are building something more wild and exotic might want to look specifically into MariaDB.\u00a0<\/strong><\/p>\n\n\n\n

Neither MySQL<\/a> or MariaDB<\/a> are anything new. In fact, they are the default database management systems<\/a> for many of us – allowing us to build applications upon our databases, and manage our data.<\/p>\n\n\n\n

MySQL is known for being a reliable, fast, and easy-to-use relational database management system<\/a> – one that still powers a good portion of the software we all build today.\u00a0MariaDB, on the other hand, is known for is its support for various storage engines<\/a>, each optimized for different kinds of workloads and use cases. <\/p>\n\n\n\n

It\u2018s hard to become a ‘power user’ of either system without an understanding of their individual fundamentals and features, and how they work. So, that’s what we’re going to explore today. We’ll take a look at the key differences between MySQL and MariaDB, how they work in relation to storage engines, and which one may be best for your use case.<\/p>\n\n\n\n

But first – why even care about which<\/em> database engine(s) we use in the first place? (If you are an experienced DBA, you may wish to skip this part.)<\/em><\/p>\n\n\n\n

The importance of choosing the right database system (with the right storage engine)<\/h2>\n\n\n\n

Database engines serve a distinct purpose, of course \u2013 and the storage engine within it will determine how data is stored, indexed, and managed internally. <\/strong><\/p>\n\n\n\n

That means that, while the SQL<\/a> queries you write should remain unchanged, the underlying storage engine behind your database of choice will drastically affect its performance, crash recovery, locking mechanisms, transaction support, and more.<\/p>\n\n\n\n

As is the case with many database management systems (DBMS’), both MySQL and MariaDB allow us to choose the most suitable storage engine for our specific use case. This, among other things, gives us fine-grained control over the design of our databases, and the tables and data within.\u00a0<\/p>\n\n\n\n

Now, let’s begin the comparison between MySQL and MariaDB.<\/p>\n\n\n\n

What database engines does MySQL support?\u00a0<\/h2>\n\n\n\n

MySQL unfortunately doesn’t support a huge number of storage engines. However, it does offer some flexibility in terms of what<\/em> we can choose from:<\/strong><\/p>\n\n\n\n

Storage engine<\/strong>\u00a0<\/td>About<\/strong> the storage engine<\/strong><\/td>When to use<\/strong>\u00a0the storage engine<\/strong><\/td><\/tr>
InnoDB<\/a>\u00a0<\/td>The main storage engine supported by MySQL. Key features include ACID compliance, row-level locking, support for foreign key operations, and more. <\/td>Use InnoDB for most general-purpose use cases. It’s built to balance performance and reliability.\u00a0<\/td><\/tr>
MEMORY (HEAP)\u00a0<\/a><\/td>Used to store data in memory. <\/td>Use the MEMORY storage engine to store data in memory. <\/td><\/tr>
CSV<\/a>\u00a0<\/td>Stores data as simple Microsoft Excel<\/a> files. Easy to integrate with external tooling.\u00a0<\/td>Use CSV whenever your data comes in a CSV format. Keep in mind that it doesn\u2018t support indexing, and performance is slow.<\/td><\/tr>
NDB (MySQL Cluster)<\/a>\u00a0<\/td>NDB is a storage engine that comes with high reliability and fault tolerance. It acts as an in-memory distributed database<\/a>.\u00a0<\/td>Use NDB for distributed high-availability systems. <\/td><\/tr>
ARCHIVE <\/td>A storage engine used to store data that is no longer relevant. <\/td>Use ARCHIVE<\/a> to store data that is obsolete now, but may be of interest in future.\u00a0<\/td><\/tr>
MyISAM<\/a>\u00a0<\/td>An obsolete storage engine that previously allowed users to store data while leaving little footprint on the disk. However – no ACID<\/a> support.\u00a0<\/td>Obsolete \u2013 not to be used. <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

So, when using MySQL, you do have some<\/em> choices. Yes, they are quite limited, but for most general use cases they will do just fine. If you\u2018re after something exotic, though, that’s where MariaDB comes in.<\/p>\n\n\n\n

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MySQL schema comparison for faster, safer deployments<\/h3>\n
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What database engines does MariaDB support?<\/h2>\n\n\n\n

The key storage engines supported by MariaDB are as follows:
(The storage engines only<\/strong> available in MariaDB (not<\/strong> MySQL) are in bold<\/strong>.<\/em>)<\/p>\n\n\n\n

Storage Engine<\/strong> <\/td>About<\/strong> <\/td>When to Use?<\/strong> <\/td><\/tr>
InnoDB <\/td>The main storage engine supported by MySQL, MariaDB & co. Key features include ACID compliance, row-level locking<\/a>, support for foreign key <\/a>operations, and more.\u00a0<\/td>Use InnoDB for most general-purpose use cases. It’s built to balance performance and reliability.\u00a0<\/td><\/tr>
ARCHIVE <\/td>A storage engine designed to store huge amounts of data that needs to be archived.<\/td>Use ARCHIVE whenever you have a significant amount of data that needs to be archived, but not permanently deleted. The data will use very little footprint on the disk.\u00a0<\/td><\/tr>
ARIA<\/a><\/strong>\u00a0<\/td>Designed to be a replacement for MyISAM. Best used with temporary tables<\/a>.\u00a0<\/td>To be used as a more reliable replacement for MyISAM. <\/td><\/tr>
BLACKHOLE<\/a>\u00a0<\/td>A storage engine that acts as a ‘black hole’ \u2013 all data it accepts simply dissapears into the abyss.\u00a0<\/td>Use it for testing your database’s features.\u00a0<\/td><\/tr>
ColumnStore<\/strong> <\/td>Turns MariaDB into a columnar database<\/a>, featuring a column-based locking level.\u00a0<\/td>Best used for analytics and big data applications. <\/td><\/tr>
Spider<\/a><\/strong>\u00a0<\/td>Spider is a storage engine with built-in sharding<\/a> features.\u00a0<\/td>Use Spider when you need to access data in one MariaDB server from another MariaDB server. <\/td><\/tr>
S3<\/strong> <\/td>S3 is a storage engine allowing you to access data in an Amazon S3<\/a> server.\u00a0<\/td>Use this storage engine when you need cheap, scalable storage of data inside an Amazon S3 server. <\/td><\/tr>
MEMORY <\/td>A storage engine to handle data in memory. <\/td>Use MEMORY when handling data exclusively in memory. If\/when your server shuts down, your data will disappear.\u00a0<\/em><\/td><\/tr>
MyISAM <\/td>Obsolete storage engine. Designed to take up very little space on the disk. No ACID support.<\/td>Don\u2018t use under any circumstances (aside from demo usage or similar.)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

The following drawing shows when to use certain storage engines supported by MariaDB:\u00a0<\/h4>\n\n\n\n
\"Some
Some of the storage engines supported by MariaDB<\/em>\u00a0<\/figcaption><\/figure>\n\n\n\n

As you can see, then, MariaDB can assist you and your use cases in a variety of ways. Just avoid using the obsolete MyISAM.<\/strong><\/p>\n\n\n\n

Why does MariaDB support so many database engines?<\/h2>\n\n\n\n

One of the biggest differences between MySQL and MariaDB is the latter’s<\/strong> support for so many storage engines. This is a deliberate design choice, enabling as many developers and DBAs as possible to use the system for a variety of use cases. Simply put: the more storage engines, the more workloads and needs that are covered.<\/strong><\/p>\n\n\n\n

This is important because not all applications behave the same way – so not one single storage engine can excel at all tasks simultaneously.<\/strong><\/p>\n\n\n\n

For example:<\/p>\n\n\n

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