Technologies
SQL Alchemy
SQLAlchemy is one of the most popular ORMs written in Python. It enables working with SQL-based databases. It's a standalone library that can be easily integrated with micro-frameworks such as Flask or used in its pure form without any framework.
SQLAlchemy supports many relational databases, including Firebird, Microsoft SQL Server, MySQL, Oracle, PostgreSQL, and SQLite. It allows for convenient use of Python expressions in SQL queries and is highly efficient and safe.
What can SQLAlchemy do?
SQLAlchemy is a Python SQL toolkit and Object-Relational Mapper used for efficient and quick database connections. It enables developers to work with Python and simultaneously query databases without creating separate SQL queries.
Popular use cases of SQLAlchemy include the following:
- Creating tables
- Analyzing data
- Working with databases
- Creating functions and expressions
SQLAlchemy: Core and Object-Relational Mapper
SQLAlchemy is divided into two parts: Core and ORM. The Core is responsible for creating an abstraction layer over the different Database Application Programming Interfaces and uses the SQL expression language to create Python expressions.
The Object-Relational Mapper is meant to be a connective layer between object-oriented programming languages and relational databases, which effectively speeds up the development process and provides high-performing database access.
A helpful tool for database administrators
SQLAlchemy is a great tool for database administrators who want to work with SQL databases using a simple Pythonic domain language. The use of Python makes the code more readable, clean, and easy to debug. In short, SQLAlchemy enables developers to enjoy all the benefits of Python.
High performance
Thanks to the full suite of enterprise-level persistence patterns, the SQLAlechemy is quick and efficient. Since SQLAlchemy converts data into Python objects, it's easier to manipulate data. It also allows application developers to group, sort, and filter data. Moreover, developers can generate queries for both lazy and eager loading.
Unit of Work
The Unit of Work is a system used in SQLAlchemy to organize operations such as insert, delete, and update. It groups them into a single unit so they can be executed one after another, furthering efficiency and improving transaction safety.
Function-based query construction
As mentioned, SQLAlchemy is based on creating queries with Python functions and expressions, providing developers with full power and convenient flexibility. They can use boolean expressions, functions, correlated updates, table aliases, and more.
Modular architecture
The modular architecture of SQLAlchemy enables developers to use different parts of the toolkit independently. Moreover, they can be expanded through plugin points.
Database agnostic
SQLAlchemy is well known for its ability to work with multiple databases, including SQLite, PostgreSQL, Oracle, and MySQL. Thanks to this, SQLAlchemy is a versatile tool that developers can use for many different projects.
Summary
SQLAlchemy is a popular Python SQL toolkit that allows developers to work with many different databases. It can also be integrated with web frameworks such as Flask. SQLAlchemy can be used to work with databases, create functions and expressions, tables, and analyze data. It's a great and flexible tool enabling developers to communicate quickly and efficiently with databases.
Frequently asked questions
What is SQLAlchemy?
SQLAlchemy is a tool that takes advantage of the flexibility and efficiency of Python and SQL. It provides developers with the freedom to use any SQL-based databases. It also allows them to save time by providing the ability to create handy functions and queries that eliminate the need to write seperate SQL queries.
What can SQLAlchemy do?
SQLAlchemy enables developers to interact with databases with Python expressions and convert data between various databases. It can also be used to create tables, functions, and expressions and analyze data.