Which databases are usually used with python and their advantages

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 Python is a popular programming language that can be used with a variety of different databases. However, some databases are more commonly used with Python than others.


The most commonly used databases with Python are PostgreSQL and MySQL.


PostgreSQL is a powerful, open-source, advanced, and Object-Relational Database Management System (ORDBMS) that is well-suited for use with Python. It has a robust feature set, including support for advanced data types, advanced indexing, and full-text search capabilities. It also supports stored procedures, triggers, and views. Additionally, PostgreSQL has a large and active community, which makes it easy to find help and resources.


MySQL is also a commonly used database with Python. It is a Relational Database Management System (RDBMS) that is known for its ease of use and high performance. MySQL is often used in conjunction with PHP and it is a popular choice for web-based applications. MySQL is generally considered to be less powerful than PostgreSQL in terms of advanced data types and indexing capabilities, but it is still a solid choice for many applications.


Another popular choice is SQLite, a lightweight, serverless, and self-contained database that is well suited for small-to-medium-sized applications. SQLite is built into Python and it's supported by the Python standard library, which makes it a great choice for small projects or for prototyping.


In addition to PostgreSQL, MySQL, and SQLite, there are several other databases that can be used with Python:


Oracle: A commercial, enterprise-class database management system that is widely used in large organizations. It has a powerful feature set and is known for its scalability and performance.


MS SQL Server: A commercial database management system developed by Microsoft. It is widely used in enterprise environments and has strong integration with other Microsoft technologies, such as .NET and SharePoint.


MongoDB: A popular NoSQL database that uses a document-oriented data model. It is well-suited for use in big data and real-time web applications and it's often used with the PyMongo driver.


Firebase Realtime Database: A cloud-hosted, real-time database provided by Google. It's well-suited for use in mobile and web applications and it's often used with the python-firebase library.


Cassandra: A highly-scalable, NoSQL database that is well-suited for use in big data and real-time web applications. It's often used with the python Cassandra driver.

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