Overview

MariaDB

Stacks16.6K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

Percona

Stacks142

Followers101

Votes0

MariaDB vs Percona: What are the differences?

Introduction:

MariaDB and Percona are both popular and widely used open-source database management systems. While they share many similarities due to their roots in MySQL, there are several key differences between these two systems that set them apart.

Storage Engines: One major difference between MariaDB and Percona is their default storage engines. MariaDB uses Aria as the default storage engine, which offers support for transactions and crash recovery. On the other hand, Percona Server uses XtraDB, an enhanced version of InnoDB, as the default storage engine. XtraDB provides improved performance and scalability over InnoDB.
Performance Optimizations: Percona Server is known for its performance enhancements and optimizations. It includes various features like the Percona Memory Engine, Thread Pool, and enhanced InnoDB optimizations that help to improve query performance and scalability. While MariaDB also includes some performance improvements, Percona has a stronger focus on performance optimization.
Compatibility: MariaDB aims to be a drop-in replacement for MySQL, offering compatibility with MySQL syntax and APIs. It strives to maintain compatibility with MySQL, making it easier for applications and developers to migrate from MySQL to MariaDB. Percona Server also maintains compatibility with MySQL but offers additional features and optimizations not found in MySQL or MariaDB.
Monitoring and Diagnostic Tools: Percona Server provides a variety of monitoring and diagnostic tools like Percona Monitoring and Management (PMM), which offers a comprehensive set of dashboards and metrics for tracking database performance. MariaDB offers its own set of monitoring and diagnostic tools but does not have an equivalent comprehensive monitoring solution like PMM.
Data Encryption: Another key difference between MariaDB and Percona is the support for data encryption. MariaDB includes built-in data-at-rest encryption capabilities, making it easier to encrypt stored data. In contrast, Percona Server does not provide built-in encryption capabilities, although it can be achieved through third-party tools or plugins.
Community and Support: MariaDB has a larger and more active community compared to Percona, which leads to more community-based support, extensive documentation, and a wide range of resources available. Percona, however, provides enterprise-level support and services, making it an attractive choice for organizations looking for professional support and expertise.

In summary, MariaDB and Percona differ in their default storage engines, performance optimizations, compatibility with MySQL, monitoring and diagnostic tools, data encryption capabilities, and community/support offerings.

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Advice on MariaDB, Percona

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)

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Detailed Comparison

MariaDB	Percona
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 delivers enterprise-class software, support, consulting and managed services for both MySQL and MongoDB across traditional and cloud-based platforms.
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile	Storing Key ring in a File; Encrypt InnoDB Data; Encrypt InnoDB Logs
Statistics
GitHub Stars 6.6K	GitHub Stars -
GitHub Forks 1.9K	GitHub Forks -
Stacks 16.6K	Stacks 142
Followers 12.8K	Followers 101
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	MySQL SQLite MongoDB

What are some alternatives to MariaDB, Percona?

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

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

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

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 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 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

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 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.