Databases are collection of tables which consists of rows and columns. These databases are an important part of any organization or company. These databases support Structured Query Language (SQL). SQL can be used to access, create or modify these databases. Additionally, these databases support database normalization rules for avoiding redundancy of data.
The Python programming language has powerful features for database programming language. Python language support different databases like Oracle, Sybase, MySQL, PostgreSQL, etc. Python also supports Data Definition Language (DDL), Data Manipulation Language (DML) and Data Query Statements. For database programming, the Python DB API is a widely used module that provides a database application programming interface.
List of the Database which Is Best For Python :
- Oracle – Oracle Database is a proprietary multi-model database management system produced and marketed by Oracle Corporation system. Oracle is a database commonly used for mixed (OLTP & DW) database workloads. running online transaction processing (OLTP) and data warehousing
- MySQL – It is an one of the open-source relational database management system. It is based on the structured query language, which is used for adding, removing, and modifying information in the database. Standard SQL commands, such as add, drop, insert, and update can be used with MySQL. MySQL can be used for a variety of applications, but is most commonly found on Web servers. A website that uses MySQL may include Web pages that access information from a database.
- PostgreSQL – PostgreSQL is a very popular open-source RDMS (Relational Database Management System), like Oracle and MySql Database, MS SQL Server, etc. but open source, free, and community supported (you can pay for professional support). It’s primary competitor in the open-source ecosystem is MySQL / MariaDB. So basically, it’s a free DB server that is widely used to store information for websites and other uses.
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