MariaDB vs PostgreSQL

Overview

PostgreSQL

Stacks103.0K

Followers83.9K

Votes3.6K

GitHub Stars19.0K

Forks5.2K

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

MariaDB vs PostgreSQL: What are the differences?

Storage Engines: MariaDB supports multiple storage engines, including InnoDB, Aria, and MyISAM, offering flexibility in handling different types of data storage needs. On the other hand, PostgreSQL does not have a concept of storage engines, as all tables are created using a single storage system.
SQL Compatibility: MariaDB is designed to be compatible with MySQL, allowing for an easy transition for users familiar with MySQL. PostgreSQL, on the other hand, follows the SQL standard more strictly and provides advanced features for complex queries and data manipulation.
Replication: MariaDB provides asynchronous master-slave replication as well as multi-source replication, allowing for flexibility in setting up replication configurations. PostgreSQL, on the other hand, offers synchronous and asynchronous replication with options for cascading replication but lacks the multi-source replication feature.
Partitioning: MariaDB supports table partitioning for improved query performance and data management by dividing large tables into smaller, more manageable parts. In contrast, PostgreSQL does not offer built-in table partitioning support, requiring users to implement custom solutions for managing large datasets.
Security Features: MariaDB includes features like role-based access control (RBAC) and encryption at rest for enhancing database security. PostgreSQL provides similar security features like RBAC and SSL/TLS encryption but lacks built-in support for data masking and dynamic row-level security.
Geospatial Support: MariaDB offers geospatial support through spatial indexing and functions for location-based queries and analysis. While PostgreSQL also supports geospatial data with robust PostGIS extension for advanced spatial data processing.

In Summary, MariaDB and PostgreSQL differ in terms of storage engines, SQL compatibility, replication options, partitioning support, security features, and geospatial support.

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Advice on PostgreSQL, 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

George

Student

Mar 18, 2020

Needs adviceon

PostgreSQL

Python

Django

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k

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

PostgreSQL	MariaDB
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.	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 19.0K	GitHub Stars 6.6K
GitHub Forks 5.2K	GitHub Forks 1.9K
Stacks 103.0K	Stacks 16.5K
Followers 83.9K	Followers 12.8K
Votes 3.6K	Votes 468
Pros & Cons
Pros 765 Relational database 511 High availability 439 Enterprise class database 383 Sql 304 Sql + nosql Cons 10 Table/index bloatings	Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup

What are some alternatives to PostgreSQL, 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.

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.

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.

Related Comparisons

MariaDB vs PostgreSQL: What are the differences?

Storage Engines: MariaDB supports multiple storage engines, including InnoDB, Aria, and MyISAM, offering flexibility in handling different types of data storage needs. On the other hand, PostgreSQL does not have a concept of storage engines, as all tables are created using a single storage system.
SQL Compatibility: MariaDB is designed to be compatible with MySQL, allowing for an easy transition for users familiar with MySQL. PostgreSQL, on the other hand, follows the SQL standard more strictly and provides advanced features for complex queries and data manipulation.
Replication: MariaDB provides asynchronous master-slave replication as well as multi-source replication, allowing for flexibility in setting up replication configurations. PostgreSQL, on the other hand, offers synchronous and asynchronous replication with options for cascading replication but lacks the multi-source replication feature.
Partitioning: MariaDB supports table partitioning for improved query performance and data management by dividing large tables into smaller, more manageable parts. In contrast, PostgreSQL does not offer built-in table partitioning support, requiring users to implement custom solutions for managing large datasets.
Security Features: MariaDB includes features like role-based access control (RBAC) and encryption at rest for enhancing database security. PostgreSQL provides similar security features like RBAC and SSL/TLS encryption but lacks built-in support for data masking and dynamic row-level security.
Geospatial Support: MariaDB offers geospatial support through spatial indexing and functions for location-based queries and analysis. While PostgreSQL also supports geospatial data with robust PostGIS extension for advanced spatial data processing.

In Summary, MariaDB and PostgreSQL differ in terms of storage engines, SQL compatibility, replication options, partitioning support, security features, and geospatial support.

MariaDB vs PostgreSQL

Overview