MySQL vs MariaDB: Which Database Should You Use in 2026?

Quick Comparison Table

MySQL and MariaDB share the same roots, but they have been diverging for over fifteen years. Here is how they compare at a glance:

Feature	MySQL	MariaDB
Origin	Created by MySQL AB (1995). Now owned by Oracle.	Forked from MySQL by Monty Widenius (2009).
License	GPL v2 + proprietary (dual licensing by Oracle).	GPL v2. Some tools use BSL (Business Source License).
Current Version	MySQL 8.4 LTS / 9.x Innovation	MariaDB 11.4 LTS / 11.x series
Default Storage Engine	InnoDB	InnoDB (Percona XtraDB fork)
JSON Support	Native JSON type with binary storage	JSON as LONGTEXT alias with JSON functions
Window Functions	Yes (since 8.0)	Yes (since 10.2)
CTEs	Yes, including recursive (since 8.0)	Yes, including recursive (since 10.2)
Community	Oracle-led development, large ecosystem	MariaDB Foundation, community-driven
Best For	Cloud-managed deployments, broad tool support	Self-hosted, open-source-first, analytics with ColumnStore

The table tells you the high-level story: MySQL has stronger corporate backing and cloud ecosystem support. MariaDB has stronger open-source commitment and includes features that MySQL locks behind its Enterprise Edition. The rest of this article digs into every detail.

History and the Fork

MySQL was created in 1995 by Michael "Monty" Widenius and David Axmark at MySQL AB in Sweden. It became the "M" in the LAMP stack and powered the early web. MySQL AB was acquired by Sun Microsystems in 2008 for $1 billion. Then Oracle acquired Sun in 2010 for $7.4 billion, and MySQL came along with the deal.

Monty Widenius saw the Oracle acquisition coming and was concerned. Oracle already sold the world's most profitable database. Giving them control of the world's most popular open-source database created an obvious conflict of interest. In 2009, before the Oracle deal closed, Monty forked MySQL and created MariaDB. He named it after his younger daughter Maria, just as he had named MySQL after his older daughter My.

The initial promise was simple: MariaDB would be a drop-in replacement for MySQL, fully compatible, with the same command set, data files, and client libraries. Any application that worked with MySQL would work with MariaDB without changes. For the first few years, that promise held.

But since the fork, both projects have taken different directions. MySQL 8.0 introduced a transactional data dictionary, the caching_sha2_password authentication plugin, and a redesigned optimizer. MariaDB went its own way with sequences, system-versioned tables, Oracle compatibility mode, and the Aria storage engine. The version numbers diverged too: MariaDB jumped from 5.5 (matching MySQL) to 10.0, making it clear this was no longer just a patched copy.

In 2026, calling MariaDB a "drop-in replacement" for MySQL is misleading. They are siblings that grew up in different houses. Most basic SQL works on both, but the further you go into advanced features, replication, and tooling, the more the differences matter.

Compatibility

Understanding where MySQL and MariaDB are compatible and where they diverge is critical if you are choosing between them or considering a migration.

Where they are still compatible

• Basic SQL - SELECT, INSERT, UPDATE, DELETE, JOINs, GROUP BY, subqueries. Standard SQL works the same on both.
• Client protocol - Both use the same MySQL client/server protocol. Most MySQL client libraries (mysql2 for Node.js, PyMySQL, JDBC) work with MariaDB without changes.
• InnoDB - Both use InnoDB as the default storage engine. MariaDB uses a fork of InnoDB (based on Percona XtraDB), but the on-disk format and core behavior are the same for most use cases.
• Common tools - mysqldump, mysql CLI, most ORMs (Sequelize, SQLAlchemy, Hibernate) work with both databases.

Where they have diverged

• Authentication - MySQL 8.0 defaults to caching_sha2_password. MariaDB uses mysql_native_password. This breaks connections if your client library does not support the MySQL 8.0 plugin.
• Data dictionary - MySQL 8.0 replaced the file-based metadata system (.frm files) with a transactional data dictionary stored in InnoDB. MariaDB still uses the traditional file-based approach. This makes downgrading from MySQL 8.0 to MariaDB difficult.
• JSON handling - MySQL stores JSON in a native binary format for faster access. MariaDB stores JSON as a LONGTEXT alias and parses it at query time. MySQL's approach is faster for JSON-heavy workloads.
• Replication - MySQL's Group Replication and InnoDB Cluster have no MariaDB equivalent. MariaDB's Galera Cluster has no MySQL Community equivalent. Cross-replication between MySQL 8.0+ and MariaDB is no longer officially supported.
• System tables - The mysql system database has different table structures. Tools that query system tables directly may not work across both.

Migration considerations

Migrating from MySQL 5.7 to MariaDB 10.x is relatively straightforward. The data formats are compatible, and most applications work without changes. Migrating from MySQL 8.0+ to MariaDB is more involved:

-- Check your MySQL version before planning migration
SELECT VERSION();

-- If you see 8.0.x or higher, check for these potential issues:

-- 1. Authentication: check which plugin your users use
SELECT user, host, plugin FROM mysql.user;
-- If 'caching_sha2_password', MariaDB will need mysql_native_password

-- 2. Check for MySQL-specific features in your schema
-- MySQL CHECK constraints (added in 8.0.16) work in MariaDB
-- MySQL generated columns work in MariaDB
-- MySQL 8.0 descending indexes may need adjustment

-- 3. Export with mysqldump (compatible with both)
-- mysqldump --all-databases --routines --triggers > backup.sql

The safest migration path: set up MariaDB as a replica of your MySQL instance, let it sync, test your application against the replica, then cut over when you are confident everything works.

Syntax Differences

Day-to-day SQL is identical on MySQL and MariaDB. The differences show up in advanced features that each project has added independently.

MariaDB sequences

MariaDB supports SQL-standard sequences, which are independent objects that generate numeric values. MySQL relies on AUTO_INCREMENT columns for the same purpose:

-- MariaDB: SQL-standard sequence
CREATE SEQUENCE order_seq START WITH 1000 INCREMENT BY 1;

-- Use in an INSERT
INSERT INTO orders (id, customer_id, total)
VALUES (NEXT VALUE FOR order_seq, 42, 199.99);

-- Get current value
SELECT PREVIOUS VALUE FOR order_seq;

-- MySQL equivalent: AUTO_INCREMENT (column-level, not standalone)
CREATE TABLE orders (
    id INT AUTO_INCREMENT PRIMARY KEY,
    customer_id INT,
    total DECIMAL(10,2)
);

Sequences are more flexible than AUTO_INCREMENT because they are not tied to a specific table. You can share a sequence across multiple tables or use it in stored procedures.

System-versioned tables (temporal tables)

MariaDB supports system-versioned tables that automatically track the full history of every row. MySQL does not have this feature:

-- MariaDB: create a table with automatic history tracking
CREATE TABLE products (
    id INT PRIMARY KEY,
    name VARCHAR(100),
    price DECIMAL(10,2)
) WITH SYSTEM VERSIONING;

-- Update a price
UPDATE products SET price = 29.99 WHERE id = 1;

-- Query the current data (normal behavior)
SELECT * FROM products WHERE id = 1;

-- Query what the data looked like yesterday
SELECT * FROM products FOR SYSTEM_TIME AS OF
    TIMESTAMP '2026-03-11 00:00:00'
WHERE id = 1;

-- Query the full history of changes
SELECT *, ROW_START, ROW_END
FROM products FOR SYSTEM_TIME ALL
WHERE id = 1
ORDER BY ROW_START;

This is valuable for audit trails, compliance requirements, and debugging data issues. Without system versioning, you would need to build a separate audit table and triggers to track changes manually.

Oracle compatibility mode

MariaDB includes an Oracle compatibility mode that makes migrating PL/SQL code easier:

-- MariaDB: enable Oracle mode
SET SQL_MODE = 'ORACLE';

-- Now you can use Oracle-style syntax
CREATE OR REPLACE PROCEDURE greet(name IN VARCHAR2) AS
BEGIN
    SELECT CONCAT('Hello, ', name) AS greeting;
END;

-- Oracle-style packages, exception handling, and %ROWTYPE
-- are partially supported in Oracle mode

This is a niche feature, but for organizations migrating from Oracle Database to an open-source alternative, it significantly reduces the amount of code rewriting needed.

Invisible columns

MariaDB added invisible columns (since 10.3) that do not appear in SELECT * but can be queried explicitly. MySQL added a similar feature in 8.0.23:

-- Works on both (syntax identical)
CREATE TABLE users (
    id INT PRIMARY KEY,
    name VARCHAR(100),
    email VARCHAR(255),
    internal_note VARCHAR(500) INVISIBLE
);

-- SELECT * does NOT return internal_note
SELECT * FROM users;
-- Returns: id, name, email

-- Explicitly query it
SELECT id, name, internal_note FROM users;

Performance

Performance benchmarks between MySQL and MariaDB produce different winners depending on the workload. Here is what actually matters in production:

Thread pool

MariaDB includes a built-in thread pool in the Community Edition. MySQL's thread pool is only available in the Enterprise Edition (paid). The thread pool limits the number of concurrently executing threads, which prevents performance degradation under high connection counts:

-- MariaDB: enable thread pool (community edition, free)
-- In my.cnf:
-- thread_handling = pool-of-threads
-- thread_pool_size = 16

-- Check thread pool status
SHOW STATUS LIKE 'Threadpool%';

-- MySQL Community: one-thread-per-connection model
-- Under 10,000+ connections, this causes context switching overhead
-- MySQL Enterprise: thread pool available but requires paid license

For web applications behind a connection pooler (PgBouncer, ProxySQL), the thread pool matters less because connection count is already managed. But for applications with many direct connections (PHP with mod_php, legacy architectures), MariaDB's built-in thread pool provides a measurable advantage without paying for Enterprise.

Optimizer improvements

MariaDB has invested heavily in optimizer enhancements that MySQL Community does not include:

• Table elimination - MariaDB can remove unnecessary tables from JOIN queries when the joined table does not affect the result. If you LEFT JOIN a table but never reference its columns, MariaDB skips the join entirely.
• Subquery optimization - MariaDB rewrites certain subqueries as semi-joins more aggressively than MySQL, improving performance on complex queries with IN (SELECT ...) patterns.
• Condition pushdown - MariaDB pushes WHERE conditions into derived tables and views more effectively, reducing the number of rows processed in intermediate steps.

MySQL 8.0+ counters with its own optimizer improvements:

• Histogram statistics - MySQL 8.0 introduced histogram-based cost estimation for columns without indexes, helping the optimizer choose better join orders and access methods.
• Hash joins - MySQL 8.0.18+ uses hash joins for equi-join conditions, which can be significantly faster than nested loop joins for large tables without indexes on the join column.
• Improved cost model - MySQL 8.0 redesigned its cost model to account for data being in memory vs. on disk, leading to better query plan choices on modern hardware.

Aria storage engine

MariaDB includes the Aria storage engine, which is a crash-safe improvement over MyISAM. Aria is used for internal temporary tables (replacing MyISAM for on-disk temporary tables), which can improve performance for queries that require temporary table materialization:

-- MariaDB uses Aria for internal temporary tables by default
-- This is faster than MySQL's use of InnoDB for internal temp tables
-- in most cases, because Aria has lower overhead for temporary data

-- Check which engine handles temporary tables
SHOW VARIABLES LIKE 'default_tmp_storage_engine';
-- MariaDB: Aria
-- MySQL 8.0+: InnoDB (changed from MyISAM)

Real-world benchmarks

In practice, the performance difference between MySQL and MariaDB for typical web application workloads (OLTP: reads, writes, simple joins) is within 5-10%. Neither database is consistently faster across all workload types. The choice should be based on features, licensing, and ecosystem support rather than raw performance numbers.

Where MariaDB tends to win: high-connection-count workloads (thread pool), complex subqueries (optimizer), and analytics queries (ColumnStore). Where MySQL tends to win: JSON-heavy workloads (native binary format), simple primary key lookups (InnoDB optimizations), and managed cloud performance (AWS/Google have optimized their MySQL offerings heavily).

Storage Engines

Both MySQL and MariaDB support pluggable storage engines, but MariaDB ships with significantly more options out of the box.

MySQL storage engines

• InnoDB - The default. ACID-compliant, supports foreign keys, row-level locking, MVCC. Handles 99% of workloads.
• MyISAM - Legacy engine. Table-level locking, no transactions, no foreign keys. Faster for read-only workloads on old hardware. Rarely used in new projects.
• NDB (MySQL Cluster) - Distributed, in-memory storage engine for MySQL Cluster. Designed for telecom and real-time applications requiring 99.999% uptime. Complex to set up and manage.
• MEMORY - Stores data entirely in RAM. Extremely fast but data is lost on restart. Useful for temporary lookup tables.

MariaDB storage engines

MariaDB includes everything MySQL has (with its own InnoDB fork) plus several additional engines:

• InnoDB (XtraDB) - MariaDB's default, based on Percona XtraDB. Functionally equivalent to MySQL's InnoDB with some Percona performance patches.
• Aria - Crash-safe MyISAM replacement. Used for internal temporary tables. Better crash recovery than MyISAM while maintaining similar read performance.
• ColumnStore - A columnar storage engine designed for analytical workloads (OLAP). Stores data by column rather than by row, which makes aggregation queries over large datasets dramatically faster:

-- MariaDB ColumnStore: analytical queries on billions of rows
CREATE TABLE events (
    event_id BIGINT,
    user_id INT,
    event_type VARCHAR(50),
    created_at DATETIME,
    properties TEXT
) ENGINE=ColumnStore;

-- This query scans billions of rows efficiently because
-- ColumnStore only reads the columns referenced in the query
SELECT
    DATE(created_at) AS day,
    event_type,
    COUNT(*) AS event_count,
    COUNT(DISTINCT user_id) AS unique_users
FROM events
WHERE created_at >= '2026-01-01'
GROUP BY day, event_type
ORDER BY day, event_count DESC;

• Spider - A sharding engine that distributes data across multiple MariaDB servers. Tables appear as a single logical table but are physically spread across nodes. This enables horizontal scaling without application-level sharding logic.
• CONNECT - Lets you access external data sources (CSV files, other databases via ODBC, JSON files, REST APIs) as if they were MariaDB tables. Useful for data integration without ETL:

-- MariaDB CONNECT engine: query a CSV file as a table
CREATE TABLE csv_import (
    name VARCHAR(100),
    email VARCHAR(255),
    signup_date DATE
) ENGINE=CONNECT TABLE_TYPE=CSV
FILE_NAME='/data/users.csv'
HEADER=1;

MySQL's storage engine ecosystem is narrower but more focused. If you need InnoDB (and you almost certainly do), both databases deliver. If you need columnar analytics, built-in sharding, or external data access, MariaDB offers these without third-party tools.

Enterprise Features

This is where the philosophical difference between MySQL and MariaDB is most visible. MySQL gates several important features behind its Enterprise Edition. MariaDB includes equivalent features in its open-source Community Edition.

MySQL Enterprise vs Community

Feature	MySQL Community (Free)	MySQL Enterprise (Paid)
Thread Pool	Not available	Included
Audit Plugin	Not available	Included
Encryption at Rest	Basic (keyring_file)	Advanced (Oracle Key Vault, KMIP)
Firewall	Not available	Included
Backup	mysqldump (logical)	MySQL Enterprise Backup (hot physical)

MariaDB: everything is open-source

MariaDB includes equivalent features in its Community Edition at no cost:

• Thread pool - Built-in, no paid license required.
• Audit plugin - server_audit plugin included in the Community Edition.
• Encryption at rest - Full tablespace and log encryption with file-key-management plugin.
• Galera Cluster - Synchronous multi-master replication with automatic node provisioning. All nodes are writable. This is MariaDB's answer to MySQL's Group Replication and InnoDB Cluster.
• MaxScale - A database proxy that handles read/write splitting, load balancing, and query routing. Note: MaxScale uses the Business Source License (BSL), which is free for non-production use but requires a subscription for production deployments with more than three servers.
• Mariabackup - Hot physical backup tool (based on Percona XtraBackup) included for free. Equivalent to MySQL Enterprise Backup.

-- MariaDB Galera Cluster: check cluster status
SHOW STATUS LIKE 'wsrep_cluster_size';
-- Returns number of nodes in the cluster

SHOW STATUS LIKE 'wsrep_cluster_status';
-- Should return 'Primary'

-- All nodes accept writes simultaneously
-- Galera handles conflict resolution automatically
INSERT INTO orders (customer_id, total) VALUES (42, 99.99);
-- This write is synchronously replicated to all nodes

MySQL high availability

MySQL's high-availability story centers on InnoDB Cluster, which combines three technologies:

• Group Replication - Synchronous replication with automatic failover. Similar to Galera but MySQL-specific.
• MySQL Router - A lightweight proxy that routes connections to the correct cluster node.
• MySQL Shell - An advanced client that can manage clusters, run JavaScript/Python scripts, and perform administrative operations.

InnoDB Cluster is available in MySQL Community Edition, but the operational tools (MySQL Enterprise Monitor, MySQL Enterprise Backup) are paid. MariaDB's Galera Cluster plus MaxScale provides a comparable setup, with the caveat that MaxScale's production use requires a BSL subscription beyond three servers.

Licensing

Licensing is one of the most cited reasons for choosing MariaDB over MySQL, but the reality is more nuanced than "MySQL is Oracle, MariaDB is free."

MySQL licensing

MySQL uses dual licensing:

• GPL v2 - The Community Edition is free and open-source under GPL. You can use it for any purpose, including commercial applications. The GPL requires that if you distribute a modified version of MySQL itself (the server code), your modifications must also be open-source.
• Commercial license - If you want to embed MySQL in a proprietary product that you distribute (OEM licensing), or if you need Enterprise features, you buy a commercial license from Oracle. Pricing is not public but typically runs $2,000-$10,000 per server per year.

For most web applications, the GPL license is perfectly fine. You are using MySQL as a service, not distributing it. The licensing concern is primarily relevant for companies that ship software with an embedded database.

MariaDB licensing

MariaDB Server is licensed under GPL v2, similar to MySQL Community. However, the ecosystem around it is more complex:

• MariaDB Server - GPL v2. Fully open-source. No Enterprise Edition with gated features.
• MaxScale - Business Source License (BSL). Free for evaluation and non-production use. Requires a paid subscription for production deployments with more than three database server instances. The BSL converts to GPL after a specified time period.
• MariaDB Corporation vs MariaDB Foundation - The Foundation maintains the server and ensures it remains open-source. The Corporation (now MariaDB plc) sells enterprise subscriptions, SkySQL (managed cloud service), and MaxScale licenses. This separation provides some assurance that the server will stay open-source regardless of the Corporation's business decisions.

The practical difference: if you are self-hosting and do not need MaxScale, MariaDB gives you more features for free than MySQL Community. If you are using managed cloud services, the licensing difference is irrelevant because your cloud provider handles it.

Cloud and Ecosystem

Cloud support and third-party tool compatibility often matter more than raw database features. Here is how each database stands in 2026:

MySQL cloud support

• AWS RDS for MySQL / Aurora MySQL - The most popular managed MySQL service. Aurora is MySQL-compatible with up to 5x performance improvement and automatic scaling. AWS has invested heavily in MySQL optimization.
• Google Cloud SQL for MySQL - Fully managed with automatic backups, replication, and failover.
• Azure Database for MySQL - Microsoft's managed MySQL service with flexible server pricing.
• PlanetScale - A serverless MySQL platform built on Vitess (YouTube's MySQL scaling technology). Branching, deploy requests, and schema change management. Popular with developer teams.
• DigitalOcean, Aiven, Railway - Most smaller cloud providers offer managed MySQL.

MariaDB cloud support

• AWS RDS for MariaDB - Supported but receives less optimization attention than MySQL on AWS. No Aurora equivalent for MariaDB.
• SkySQL - MariaDB Corporation's own managed cloud service. Supports MariaDB-specific features like ColumnStore and Xpand (distributed SQL). Available on AWS, GCP, and Azure.
• Azure Database for MariaDB - Note: Microsoft announced this service is being retired. Users are being migrated to Azure Database for MySQL.
• Self-hosted on Linux - MariaDB is the default MySQL replacement on many Linux distributions. Debian, Ubuntu, RHEL, CentOS, Arch Linux, and openSUSE all ship MariaDB or offer it as a preferred alternative to MySQL. If you are deploying on Linux servers, MariaDB is often pre-installed or one package manager command away.

Tool and ORM compatibility

Most tools that support MySQL also support MariaDB, but there are edge cases:

• ORMs - Sequelize, SQLAlchemy, Hibernate, Prisma, and TypeORM all work with both databases. Some ORMs have specific MariaDB drivers or dialect options for better compatibility.
• Database GUIs - MySQL Workbench is MySQL-only. DBeaver, DataGrip, and HeidiSQL work with both. TablePlus and Beekeeper Studio also support both.
• Monitoring - Percona Monitoring and Management (PMM) supports both. MySQL Enterprise Monitor is MySQL-only. MariaDB has its own monitoring tools through SkySQL.
• Backup tools - Percona XtraBackup works with both (though recent versions may have compatibility issues with the latest MariaDB). Mariabackup is the recommended tool for MariaDB.

MySQL has a larger ecosystem simply because it has been around longer and has Oracle's marketing behind it. If you are choosing a database for a project that uses cutting-edge SaaS tools, check that they explicitly support MariaDB, not just "MySQL-compatible databases."

When to Use MySQL

MySQL is the better choice in these specific scenarios:

1. Cloud-managed deployments

If you are deploying on AWS, GCP, or Azure and want a fully managed database, MySQL has better support. Aurora MySQL on AWS offers automatic scaling, multi-region replication, and performance optimizations that do not exist for MariaDB. Google Cloud SQL and Azure have deeper MySQL integration.

2. You need MySQL-specific features

MySQL 8.0+ introduced features that MariaDB does not have:

-- MySQL: Document Store (X Protocol)
-- Store and query JSON documents without SQL
-- Access via X DevAPI in Node.js, Python, Java, C#

-- MySQL: Window function frame exclusion (EXCLUDE CURRENT ROW)
SELECT
    name,
    salary,
    AVG(salary) OVER (
        ORDER BY salary
        ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
        EXCLUDE CURRENT ROW
    ) AS avg_excluding_self
FROM employees;

-- MySQL Shell: JavaScript/Python-based administration
-- mysqlsh -- js
-- dba.createCluster('myCluster')
-- cluster.addInstance('mysql2:3306')

3. Broad third-party tool support

If your stack includes PlanetScale, Vitess, ProxySQL, or other MySQL-ecosystem tools, sticking with MySQL avoids compatibility surprises. MySQL Workbench, while not the best GUI, is purpose-built for MySQL administration.

4. Existing MySQL expertise

If your team knows MySQL well, the migration effort to MariaDB is rarely justified by the features you gain. Both databases are mature, stable, and performant for typical workloads. Learning MariaDB-specific features like Galera or ColumnStore requires investment that may not pay off unless you specifically need those capabilities.

5. Oracle support contract

Enterprise environments that require vendor support with SLAs and liability coverage. Oracle offers 24/7 support for MySQL Enterprise. MariaDB Corporation offers similar support through subscriptions, but Oracle's support infrastructure is larger and more established.

When to Use MariaDB

MariaDB is the better choice in these specific scenarios:

1. Open-source commitment

If your organization requires that all database features are available under an open-source license, MariaDB is the clear winner. Thread pool, audit logging, encryption, and Galera Cluster are all free. Getting equivalent features from MySQL requires an Enterprise license.

2. You need Galera Cluster

Galera provides synchronous multi-master replication that is battle-tested and well-documented. All nodes accept writes. Automatic conflict resolution. Automatic node provisioning when a new node joins. If you need multi-master clustering without paying for MySQL's InnoDB Cluster tooling, Galera is the standard:

-- MariaDB Galera: three-node cluster
-- Each node in my.cnf:
-- wsrep_on = ON
-- wsrep_cluster_address = gcomm://node1,node2,node3
-- wsrep_provider = /usr/lib/galera/libgalera_smm.so

-- Verify cluster status from any node
SHOW STATUS LIKE 'wsrep_cluster_size';  -- Should show 3
SHOW STATUS LIKE 'wsrep_ready';          -- Should show ON
SHOW STATUS LIKE 'wsrep_connected';      -- Should show ON

-- Write on node1, immediately readable on node2 and node3
-- No replication lag for committed transactions

3. ColumnStore for analytics

If you need to run analytical queries on large datasets alongside your OLTP workload, MariaDB ColumnStore lets you do this within the same database. No need for a separate analytical database like ClickHouse or BigQuery for moderate-scale analytics (hundreds of millions to low billions of rows).

4. Oracle compatibility mode

If you are migrating from Oracle Database and want to minimize the PL/SQL rewriting effort, MariaDB's Oracle compatibility mode gives you a head start. This is a niche but valuable feature for enterprise migrations.

5. Linux distro default

If you are deploying on Linux and want the path of least resistance, many distributions ship MariaDB by default or recommend it over MySQL. Debian, Fedora, openSUSE, and Arch Linux all default to MariaDB. This means better package integration, security updates through your distro's package manager, and simpler setup.

6. System-versioned tables and sequences

If you need built-in temporal table support for audit trails or regulatory compliance, or SQL-standard sequences for ID generation, MariaDB provides these features natively. Implementing the same functionality in MySQL requires custom triggers, audit tables, and application-level logic.

How AI2SQL Helps

Whether you are running MySQL or MariaDB, writing the right query is what matters. AI2SQL supports both databases and handles the syntax differences automatically.

Natural language to SQL. Describe what you need in plain English, and AI2SQL generates the correct query for your database. Need a MySQL-specific query or a MariaDB sequence? Just tell it which database you are using.

Works with MySQL and MariaDB. Connect your database, and AI2SQL detects the dialect automatically. It generates queries using the correct syntax, functions, and features available in your specific version. No more checking documentation for which database supports what.

Complex queries made simple. Window functions, CTEs, subqueries, multi-table joins. Describe the business question, and AI2SQL writes the SQL. This is especially useful when working with features that differ between MySQL and MariaDB, like JSON functions or system-versioned table queries.

Learn SQL faster. Every generated query is explained step by step. If you are learning what SQL is or preparing for interviews, AI2SQL acts as a tutor that generates and explains real queries against your actual data.

Whether you chose MySQL for its cloud ecosystem or MariaDB for its open-source features, try AI2SQL free and write better queries in seconds.

Frequently Asked Questions

Is MariaDB fully compatible with MySQL?

MariaDB was originally a drop-in replacement for MySQL up to version 5.5. Since then, the two have diverged significantly. MariaDB 10.x and 11.x include features that MySQL does not have (sequences, system-versioned tables, Oracle compatibility mode), and MySQL 8.0+ added features that MariaDB lacks (native JSON binary format, MySQL Shell, Group Replication). Most basic SQL queries and applications work on both, but complex features and replication setups may not be directly portable.

Can I migrate from MySQL to MariaDB without downtime?

For MySQL 5.7 and earlier, migration to MariaDB is straightforward and often requires just stopping MySQL, installing MariaDB, and starting it with the same data directory. For MySQL 8.0+, migration is more complex because of authentication changes (caching_sha2_password), data dictionary differences, and divergent features. You should test thoroughly with a replica first, check for incompatible SQL syntax, and plan for potential application changes.

Which is faster, MySQL or MariaDB?

Performance depends heavily on the workload. MariaDB includes a built-in thread pool (MySQL requires Enterprise Edition for this), which gives it an advantage under high-concurrency workloads. MariaDB's optimizer also includes improvements like subquery optimization and table elimination that can speed up complex queries. MySQL 8.0+ has its own optimizer improvements, better histogram statistics, and a redesigned cost model. For most typical web application workloads, the performance difference is negligible.

Why did MariaDB fork from MySQL?

MariaDB was created in 2009 by Michael "Monty" Widenius, the original creator of MySQL, after Oracle acquired Sun Microsystems (which owned MySQL). The fork was motivated by concerns that Oracle might restrict MySQL's open-source development, change the licensing terms, or prioritize Oracle Database over MySQL. MariaDB was created to ensure a fully open-source, community-driven version of MySQL would always be available.

Should I use MySQL or MariaDB for a new project in 2026?

For cloud-managed deployments (AWS RDS, Google Cloud SQL, Azure), MySQL is the safer choice because it has broader managed service support and more third-party tool compatibility. For self-hosted or Linux-based deployments where you want all features included without a commercial license, MariaDB is compelling because its thread pool, Galera Cluster, and ColumnStore are all open-source. If your team already has experience with one, stick with it. The differences rarely justify a migration.