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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. MariaDB vs Percona Server for MySQL

MariaDB vs Percona Server for MySQL

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
Percona Server for MySQL
Percona Server for MySQL
Stacks53
Followers52
Votes0
GitHub Stars1.2K
Forks502

MariaDB vs Percona Server for MySQL: What are the differences?

Developers describe MariaDB as "An enhanced, drop-in replacement for MySQL". Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance. On the other hand, Percona Server for MySQL is detailed as "Open Source drop-in replacement for MySQL". It is a free, fully compatible, enhanced, open source drop-in replacement for MySQL that provides superior performance, scalability and instrumentation. Its self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability.

MariaDB and Percona Server for MySQL can be categorized as "Databases" tools.

Some of the features offered by MariaDB are:

  • Replication
  • Insert Delayed
  • Events

On the other hand, Percona Server for MySQL provides the following key features:

  • Works on-premises and in the cloud
  • Enterprise ready
  • SaaS deployable

MariaDB and Percona Server for MySQL are both open source tools. MariaDB with 2.92K GitHub stars and 887 forks on GitHub appears to be more popular than Percona Server for MySQL with 585 GitHub stars and 262 GitHub forks.

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Advice on MariaDB, Percona Server for MySQL

Omran
Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k
Comments

Detailed Comparison

MariaDB
MariaDB
Percona Server for MySQL
Percona Server for MySQL

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

It is a free, fully compatible, enhanced, open source drop-in replacement for MySQL that provides superior performance, scalability and instrumentation. Its self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Works on-premises and in the cloud;Enterprise ready;SaaS deployable;Vertical scalability and server consolidation;Deep visibility into database performance;Faster and more consistently run queries; Enhanced security with binary log (binlog) encryption and data-at-rest encryption; Improved efficiency with server consolidation
Statistics
GitHub Stars
6.6K
GitHub Stars
1.2K
GitHub Forks
1.9K
GitHub Forks
502
Stacks
16.5K
Stacks
53
Followers
12.8K
Followers
52
Votes
468
Votes
0
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
No community feedback yet
Integrations
No integrations available
CentOS
CentOS
Red Hat Enterprise Linux (RHEL)
Red Hat Enterprise Linux (RHEL)
Debian
Debian
Amazon Linux
Amazon Linux

What are some alternatives to MariaDB, Percona Server for MySQL?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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