Flexibility
SQLAlchemy offers a high degree of flexibility for developers, allowing them to use raw SQL, an ORM, or a combination of both, which makes it adaptable to different use cases and preferences.
Database Agnosticism
It supports a wide range of database backends (e.g., PostgreSQL, MySQL, SQLite) without needing to alter application code, facilitating easier transitions between databases.
Powerful ORM
Its ORM component provides powerful object-relational mapping capabilities, making complex query construction and database interaction easier by using Pythonic objects.
Robust Query Construction
SQLAlchemy offers advanced query construction capabilities, enabling developers to build complex and dynamic queries efficiently.
Comprehensive Documentation
The library comes with extensive and well-maintained documentation, which helps in easing the learning curve and troubleshooting issues.
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The latest comments about SQLAlchemy on Reddit. This can help you find out how popualr the product is and what people think about it.
Under the hood, LangChain works with SQLAlchemy to connect to various types of databases. This means it can work with many popular databases, like MS SQL, MySQL, MariaDB, PostgreSQL, Oracle SQL, and SQLite. To learn more about connecting LangChain to your specific database, you can check the SQLAlchemy documentation for helpful information and requirements. - Source: dev.to / about 2 years ago
SQLModel is a library for interacting with SQL databases from Python code, using Python objects. It is designed to be intuitive, easy-to-use, highly compatible, and robust. It is powered by Pydantic and SQLAlchemy and relies on Python type annotations for maximum simplicity. The key features are: it's intuitive to write and use, highly compatible, extensible, and minimizes code duplication. The library does a lot... - Source: dev.to / over 2 years ago
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