{"id":1321,"date":"2022-08-02T01:54:00","date_gmt":"2022-08-02T07:54:00","guid":{"rendered":"http:\/\/blog.supportpro.com\/?p=1321"},"modified":"2026-03-27T02:43:35","modified_gmt":"2026-03-27T08:43:35","slug":"comparison-between-mariadb-postgresql-and-mongodb","status":"publish","type":"post","link":"https:\/\/www.supportpro.com\/blog\/comparison-between-mariadb-postgresql-and-mongodb\/","title":{"rendered":"MariaDB vs PostgreSQL vs MongoDB : Comparison"},"content":{"rendered":"\n

MariaDB<\/strong> <\/a>is considered as the fork(replica) of MySQL database. It was developed by the same developer as that of MySQL except for the fact MariaDB offers many more additional functionalities to the MySQL engine.<\/p>\n\n\n\n

PostgreSQL<\/strong> <\/a>is an alternative to MySQL working on ORDBMS (Object-Relational Database Management System). As a database server, its primary function is to store data, securely and supporting best practices, and retrieve it later, as requested by other software applications, be it those on the same computer or those running on another computer across a network. The said architecture has many advantages over MySQL<\/a> in areas of performance and redundancy.<\/p>\n\n\n\n

MongoDB<\/strong> <\/a>is a cross-platform document-oriented database. Its a specialized DB build on non-relational document store architecture similar to JSON and support any type of file or elements. It offers higher speed of processing data and less response time for some specified application.<\/p>\n\n\n\n

The three databases are used at a variety of application depending on the need. Here are some of the basic difference between them.<\/p>\n\n\n\n

\"Database\"<\/a><\/figure>\n\n\n\n

Database Comparison: PostgreSQL vs MariaDB vs MongoDB<\/h1>\n\n\n\n
Feature<\/th>PostgreSQL<\/th>MariaDB<\/th>MongoDB<\/th><\/tr><\/thead>
Database Type<\/strong><\/td>Relational (SQL)<\/td>Relational (SQL)<\/td>NoSQL (Document)<\/td><\/tr>
Data Model<\/strong><\/td>Tables & rows<\/td>Tables & rows<\/td>JSON-like documents<\/td><\/tr>
Schema<\/strong><\/td>Strict<\/td>Strict<\/td>Flexible<\/td><\/tr>
Best For<\/strong><\/td>Complex queries, analytics<\/td>Web apps, transactions<\/td>Big data, real-time apps<\/td><\/tr>
Performance<\/strong><\/td>Strong for complex queries<\/td>Fast for read-heavy workloads<\/td>Scales horizontally<\/td><\/tr>
Scalability<\/strong><\/td>Vertical + extensions<\/td>Vertical + replication<\/td>Native horizontal scaling<\/td><\/tr>
ACID Compliance<\/strong><\/td>Yes<\/td>Yes<\/td>Yes (since v4.0)<\/td><\/tr>
Replication<\/strong><\/td>Streaming, logical<\/td>Master-slave, cluster<\/td>Built-in replica sets<\/td><\/tr>
Indexing<\/strong><\/td>Advanced<\/td>Standard<\/td>Flexible & compound<\/td><\/tr>
JSON Support<\/strong><\/td>Native + powerful<\/td>Basic<\/td>Native format<\/td><\/tr>
Full-Text Search<\/strong><\/td>Yes<\/td>Yes<\/td>Yes<\/td><\/tr>
Learning Curve<\/strong><\/td>Moderate<\/td>Easy<\/td>Moderate<\/td><\/tr><\/tbody><\/table><\/div><\/figure>\n\n\n\n

PostgreSQL – Best for Complex Applications<\/h2>\n\n\n\n

Strengths<\/strong><\/p>\n\n\n\n