SQL
MySQL Wildcards Tutorial: Like, NOT Like, Escape, ( % ), ( _ )
What are MySQL Wildcards? MySQL Wildcards are characters that help search data matching complex...
MYSQL is a popular and widely used DBMS system. The name is taken from the girl name My who is the daughter of the co-founder Michael Widenius. The source code of MYSQL is available under the GNU GPL. The project is owned and maintained by Oracle Corporation.
It is an RDBMS (Relational Database Management System) and works primarily on the relational database model. It makes database administration easier and more flexible.
Postgre is an object-relational database management system (ORDBMS). It was developed at the Computer Science Department in the University of California. Postgres pioneered many concepts.
Postgre is an Enterprise-class relational database system. It is easy to setup and installs. It offers support for SQL and NoSQL. It has a great community which happy to serve you when you are facing issues while using PostgreSQL.
In this tutorial you will learn more about -
Here, are some important reasons for using MYSQL:
Main reasons for using PostgreSQL are:
Parameter | MYSQL | PostgreSQL |
Open Source | The MySQL project has made its source code available under the terms of the GNU General Public License. | PostgreSQL is released under the PostgreSQL license which is free Open Source license. This is similar to the BSD & MIT licenses. |
Acid compliance | MySQL is ACID compliant only when it is used with InnoDB and NDB Cluster Storage engines. | PostgreSQL is complete ACID compliant. |
SQL compliant | MySQL is partially SQL compliant. For example, it does not support check constraint. | PostgreSQL is largely SQL compliant. |
Community Support | It has a large community of contributors who Focus mainly on maintaining existing features with new features emerging occasionally. | Active community constantly improves is existing features while its innovative community strives to ensure it remains the most advanced database. New cutting-edge features and security enhancements regularly released. |
Performance | It is mostly used for web-based projects that need a database for straightforward data transactions. | It is highly used in large systems where to read and write speeds are important |
Best suited | MySQL performs well in OLAP& OLTP systems when only read speeds are needed. | PostgreSQL performance well when executing complex queries. |
Support for JSON | MySQL has a JSON data type support but does not support any other NoSQL feature. | Support JSON and other NoSQL features like native XML support. It also allows indexing JSON data for faster access. |
Support for materialized views | Supports materialized views and temporary tables. | Supports temporary tables but does not offers materialized views. |
Ecosystem | MySQL has a dynamic ecosystem with variants like MariaDB, Percona, Galera, etc. | Postgres has had limited high-end options. However, it is changing with new features introduced in the latest version. |
Default values | The default values can be overwritten at the session level and the statement level | The default values can be changed at the system level only |
B-tree Indexes | Two or more B-tree indexes can be used when it is appropriate. | B-tree indexes merged at runtime to evaluate are dynamically converted predicates. |
Object statistics | Fairly good object statistics | Very good object statistics |
Stack Overflow questions | 532K | 89.3K |
Join capabilities | Limit join capabilities | Good join capabilities |
GitHub Stars | 3.34k | 5.6k |
Forks | 1.6k | 2.4k |
Prominent Companies using the product | Airbnb, Uber, Twitter | Netflix, Instagram, Groupon |
After comparing both we can say that MySQL has done a great job of improving itself to keep relevant, but on the other side for PostgreSQL, you don't need any licensing. It also offers table inheritance, rules systems, custom data types, and database events. So, it certainly edges above MySQL.
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