MySQL vs MariaDB Comparison | StackShare

Overview

MySQL

Stacks128.5K

Followers108.6K

Votes3.8K

GitHub Stars11.8K

Forks4.1K

MariaDB

Stacks16.6K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

MariaDB vs MySQL: What are the differences?

MariaDB and MySQL are both popular relational database management systems that share a common origin. MariaDB is a community-developed fork of MySQL, created to provide enhanced performance, additional features, and improved compatibility. Here are the key differences between MariaDB and MySQL:

Origins and Ownership: MariaDB is a community-developed fork of MySQL. It was created by the original developers of MySQL in response to concerns about MySQL's acquisition by Oracle Corporation. While MySQL is now owned and maintained by Oracle, MariaDB is developed and governed by the MariaDB Foundation, an independent non-profit organization.
Features and Compatibility: MariaDB and MySQL share a common ancestry and are largely compatible with each other. They both support SQL (Structured Query Language) and have similar syntax. However, MariaDB often introduces new features and enhancements more quickly than MySQL. It includes additional storage engines, such as XtraDB (an enhanced version of InnoDB) and Aria, which offer improved performance and scalability.
Performance and Optimizations: MariaDB has made specific performance optimizations, including improvements in query execution, faster join algorithms, and enhanced thread pool management. It also includes features like Dynamic Columns and the Spider storage engine that are not available in MySQL.
Community and Support: The community surrounding MariaDB tends to be more focused on open-source principles and community-driven development. MariaDB benefits from the contributions of a broad community and receives regular updates and bug fixes. MySQL, being backed by Oracle, offers commercial support options and enterprise features through MySQL Enterprise Edition.
Compatibility with Applications: MariaDB is designed to be a drop-in replacement for MySQL. However, there might be slight differences in behavior and compatibility with certain features or SQL statements, so it is always recommended to test and validate the application against the specific database platform.

In summary, MariaDB offers similar functionality to MySQL, providing a robust and reliable database solution with added performance optimizations and advanced features. It aims to be a drop-in replacement for MySQL, ensuring seamless migration and compatibility.

Advice on MySQL, MariaDB

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k

Comments

Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k

Comments

Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k

Comments

Detailed Comparison

MySQL	MariaDB
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.	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.
-	Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Statistics
GitHub Stars 11.8K	GitHub Stars 6.6K
GitHub Forks 4.1K	GitHub Forks 1.9K
Stacks 128.5K	Stacks 16.6K
Followers 108.6K	Followers 12.8K
Votes 3.8K	Votes 468
Pros & Cons
Pros 800 Sql 679 Free 562 Easy 528 Widely used 490 Open source Cons 16 Owned by a company with their own agenda 3 Can't roll back schema changes	Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup

What are some alternatives to MySQL, MariaDB?

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.

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.

CouchDB

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.