SQLAlchemy - Introduction (2024)

FAQs

What is SQLAlchemy used for? ›

SQLAlchemy is the Python SQL toolkit that allows developers to access and manage SQL databases using Pythonic domain language. You can write a query in the form of a string or chain Python objects for similar queries.

SQLAlchemy code tends to be more readable and easier to maintain than raw SQL queries. It leverages Python classes and objects to represent database tables and rows, making your code intuitive and self-explanatory.

SQLAlchemy is an open-source SQL toolkit and object-relational mapper (ORM) for the Python programming language released under the MIT License.

This SQLAlchemy Tutorial is very well suited for beginners and also for experienced programmers. This specially designed free SQLAlchemy tutorial will help you learn SQLAlchemy most efficiently, with all topics from basics to advanced.

It's not a database, but a library for handling databases, or as they put it: SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. The file based dialect is SQLite.

One of the key aspects of any data science workflow is the sourcing, cleaning, and storing of raw data in a form that can be used upstream. This process is commonly referred to as “Extract-Transform-Load,” or ETL for short.

One big disadvantage though is, Flask-SqlAlchemy doesn't provide any way to setup multi-tenancy in app. That is IMO biggest negative. binds provided only is to attach different database to different model, while there is no way to use tenant-specific database with same model.

SQLAlchemy is a Python library that makes it easier to work with databases. It allows you to create objects representing your data and then use them to interact with the database. This can make your code more readable and maintainable, and it can also help you to avoid errors.

Main difference is that Django ORM uses the “active record implementation”, and SQL Alchemy uses “data mapper implementation”. It means that Django ORM cannot use our models for queries if every row is not linked with the overall model object.

By passing the database which is not present, to the engine then sqlalchemy automatically creates a new database.

What databases are supported by SQLAlchemy? ›

Supported Databases. SQLAlchemy includes dialects for SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL most of which support multiple DBAPIs. SQLAlchemy supports both sync and async drivers, alliwing the use with asyncio. Other dialects are published as external projects.

SQLAlchemy, on the other hand, is a Python library that provides a higher-level interface for working with databases, including SQLite. It allows you to write Python code interacting with your database, making it easier to manipulate data and write complex queries.

Pass the SQL query to the execute() function and get all the results using fetchall() function. Use a for loop to iterate through the results. The SQLAlchemy query shown in the below code selects all rows where the book price is greater than Rs. 50.

SQLAlchemy, on the other hand, is a Python library that provides a higher-level interface for working with databases, including SQLite. It allows you to write Python code interacting with your database, making it easier to manipulate data and write complex queries.

MySQL is a specific database management system (DBMS) that operates with its own syntax and features. On the other hand, SQLAlchemy provides a higher level of abstraction, allowing developers to write code that is not specific to any particular DBMS.

The text function from SQLAlchemy lets you build custom SQL statements.