30+ MySQL-Compatible Databases Ranked & Compared

Compare MySQL-compatible databases and alternatives — distributed SQL, serverless, and modern engines that speak the MySQL wire protocol.

Last updated: April 14, 2026
29 databases
1ClickHouse
ClickHouse
46.8k+541 30d

Blazing-fast open-source column-oriented database for real-time analytics and OLAP

Analytics·2016·Apache-2.0·C++
2TiDB
TiDB
40.0k+187 30d

MySQL-compatible distributed SQL database for hybrid transactional and analytical workloads

Relational·2015·Apache-2.0·Go
3Dolt
Dolt
22.1k+1.2k 30d

Version-controlled SQL database with Git-like branching, merging, and diffing for data

Relational·2019·Apache-2.0·Go
4Vitess
Vitess
20.9k+141 30d

Cloud-native database clustering system for horizontal scaling of MySQL through transparent sharding

Relational·2012·Apache-2.0·Go
5Apache Doris
Apache Doris
15.2k+125 30d

High-performance real-time analytical database for sub-second queries on large-scale data

Analytics·2017·Apache-2.0·Java, C++
6Manticore Search
Manticore Search
11.7k+58 30d

Fast open-source search database with SQL and JSON interfaces

Search·2017·GPL-3.0·C++
7StarRocks
StarRocks
11.6k+110 30d

High-performance MPP analytics engine for real-time and batch data warehousing

Analytics·2021·Apache-2.0·Java, C++
8OceanBase
OceanBase
10.1k+51 30d

Distributed relational database for high-performance transactional, analytical, and AI workloads at scale

Relational·2010·Mulan PubL v2·C++
9Databend
Databend
9.2k+69 30d

Cloud-native data warehouse built in Rust for analytics, search, and AI on object storage

Analytics·2021·Apache-2.0·Rust
10MariaDB
MariaDB
7.4k+146 30d

Community-developed fork of MySQL with enhanced features and performance

Relational·2009·GPLv2·C, C++
11AliSQL
AliSQL
5.8k+37 30d

Alibaba's battle-tested MySQL branch with built-in DuckDB analytics and vector search

Relational·2016·GPL-2.0·C++, C
12H2 Database
H2 Database
4.6k−18 30d

Fast, embeddable Java RDBMS with browser-based console and PostgreSQL compatibility mode

Embedded·2005·MPL-2.0·Java
13Alibaba Cloud PolarDB

Cloud-native relational database with MySQL, PostgreSQL, and Oracle compatibility and HTAP capabilities

Relational·2018·proprietary·C, C++
14Apache HoraeDB
Apache HoraeDB
2.8k+3 30d

High-performance distributed cloud-native time-series database for analytics and time-series workloads

Time-Series·2022·Apache-2.0·Rust
15ActorDB
ActorDB
1.9k+4 30d

Distributed SQL database using the actor model with Raft consensus on SQLite

Relational·2014·MPL-2.0·Erlang, C
16MatrixOne
MatrixOne
1.8k−19 30d

Cloud-native HTAP database with MySQL compatibility, Git-style data versioning, and AI-native capabilities

Relational·2021·Apache-2.0·Go
17Sphinx
Sphinx
1.8k0 30d

Fast open-source full-text search engine designed for integrating with SQL databases

Search·2001·Proprietary (GPLv2 for older versions)·C++
18PolarDB-X
PolarDB-X
1.7k+2 30d

Cloud-native distributed SQL database for high concurrency and massive storage with MySQL compatibility

Relational·2020·Apache-2.0·Java
19Percona Server for MySQL

Free, fully compatible, enhanced open-source drop-in replacement for MySQL with superior performance and scalability

Relational·2008·GPL-2.0·C++, C
20CUBRID
CUBRID
286+1 30d

Open-source object-relational DBMS optimized for web applications with high availability clustering

Relational·2008·Apache-2.0·C, C++, Java
21EdgelessDB
EdgelessDB
1670 30d

MySQL-compatible database for confidential computing running entirely inside secure SGX enclaves

Relational·2021·GPL-2.0·Go, C++
22SequoiaDB
SequoiaDB
60 30d

Distributed multi-model NewSQL database for financial and enterprise applications in China

Multi-Model·2012·AGPL-3.0·C++
23Alibaba Cloud AnalyticDB for MySQL

Cloud-native real-time data warehouse with MySQL compatibility for petabyte-scale analytics

Analytics·2017·proprietary·C++
24Amazon Aurora

MySQL and PostgreSQL-compatible relational database with up to 5x throughput and 99.999% availability

Relational·2014·proprietary
25KingbaseES

China's leading Oracle-compatible enterprise relational database with multi-model support and 99.999% uptime

Relational·1999·proprietary·C, C++
26PlanetScale

Serverless MySQL-compatible cloud database platform powered by Vitess with branching and deploy requests

Relational·2021·proprietary·Go
27SingleStore

Distributed SQL database for data-intensive applications combining transactions, analytics, and AI workloads

Relational·2013·SingleStore Commercial License·C++
28TDSQL for MySQL

Tencent's distributed MySQL-compatible database with strong consistency and horizontal scaling

Relational·2012·proprietary·C, C++
29Transwarp KunDB

Financial-grade distributed relational database with strong consistency and Oracle/MySQL compatibility

Relational·proprietary

What does MySQL-compatible mean?

A MySQL-compatible database speaks the MySQL wire protocol, so existing MySQL drivers, ORMs, and tools (mysql CLI, MySQL Workbench, 1bench) connect without code changes. Compatibility ranges from wire-compatible (speaks the protocol but may differ in SQL features) to feature-compatible (full MySQL SQL syntax, behaviors, and storage semantics). MariaDB started as a MySQL fork and remains the closest alternative. TiDB and Vitess add distributed scale while keeping MySQL compatibility. PlanetScale and Aurora MySQL add managed operations and serverless features on top.

Why use a MySQL-compatible database?

Pick a MySQL-compatible alternative when MySQL alone can't meet your scaling or operational needs. TiDB and Vitess provide horizontal scaling and automatic sharding for workloads beyond a single MySQL node. MariaDB offers a fully open-source alternative with additional storage engines and SQL features. PlanetScale provides branching, schema changes without locks, and serverless pricing. Aurora MySQL gives you AWS-managed reliability with up to 5x the throughput of stock MySQL. Your existing MySQL application code, drivers, and team knowledge transfer directly.

Frequently Asked Questions

What is the difference between MySQL and a MySQL-compatible database?
MySQL is the original open-source relational database, owned by Oracle. A MySQL-compatible database is a separate engine that speaks the MySQL wire protocol or SQL dialect, allowing existing MySQL clients to connect. MariaDB is the closest — a fork that maintains tight compatibility while adding features. TiDB and Vitess add distributed scale. Aurora MySQL is AWS's optimized version with MySQL compatibility. Each adds something MySQL lacks (scale, operations, features) at the cost of some specific MySQL behaviors.
Is MariaDB compatible with MySQL?
Yes, MariaDB started as a MySQL fork and maintains very high compatibility — most MySQL applications work unchanged with MariaDB. The MySQL Connector libraries, mysqldump, and standard drivers all work. However, MariaDB has diverged in some areas: it has its own storage engines (Aria, ColumnStore), some SQL syntax differs, and the latest MySQL features may not exist in MariaDB. For most CRUD applications, the migration is seamless; for advanced MySQL-specific features, check compatibility.
Why would I use a MySQL-compatible alternative instead of MySQL?
Common reasons: distributed scale, operational simplicity, or open-source guarantees. TiDB and Vitess scale horizontally beyond what single-node MySQL handles — useful for billions of rows or write-heavy workloads. PlanetScale offers schema changes without table locks and Git-style branching. MariaDB provides a fully open-source alternative free from Oracle's licensing. Aurora MySQL gives you AWS's managed reliability with 5x throughput. If your workload fits on one MySQL instance, stock MySQL is usually the simpler choice.
Can I migrate from MySQL to a compatible database without code changes?
For application code: usually yes — drivers, ORMs, and standard SQL queries transfer directly. For schema and operations: some adjustments are typical. MySQL-specific features like certain storage engines, character sets, or stored procedures may behave differently. Migration tools like mysqldump and AWS DMS can move data, but distributed targets (TiDB, Vitess) require partition key planning. Always test transactional workloads with your actual application before switching.
What is the difference between Aurora MySQL and MySQL?
Aurora MySQL is AWS's MySQL-compatible database engine — it accepts the same MySQL drivers, syntax, and applications, but uses a completely different storage architecture underneath. Aurora separates compute from storage, replicates data across 6 copies in 3 availability zones, and offers up to 5x the throughput of stock MySQL. The tradeoff: it's AWS-only, more expensive than RDS MySQL, and some MySQL-specific features (like certain storage engines) aren't supported. Use Aurora when you're on AWS and need MySQL with serious reliability and performance.

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