SQLAlchemy provides "a full suite of well known enterprise-level persistence patterns,
designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language".

SQLAlchemy's philosophy is that relational databases behave less like
object collections as the scale gets larger and performance starts being a concern,
while object collections behave less like tables and rows as more abstraction is designed into them.

For this reason it has adopted the data mapper pattern (similar to Hibernate for Java) rather than the active record
pattern used by a number of other object-relational mappers. However, optional plugins
allow users to develop using declarative syntax.

SQLAlchemy was first released in February 2006 and has quickly become one of the most widely used object-relational mapping tools in the Python community, alongside Django's ORM.

SQLAlchemy can be used with or without the ORM features. Any given project can choose to just use SQLAlchemy Core or both Core and the ORM. The following diagram shows a few example configurations with various application software stacks and backend databases. Any of these configurations can be a valid option depending on what type of application you are coding.

Learn SQLAlchemy - Python Queries App Include Categories :-

What Is SQLAlchemy.
SQLAlchemy ORM.
SQLAlchemy in Practice.
Securing Python APIs with Auth0.
SQLAlchemy-Python Queries
SQLAlchemy Architecture.
SQLAlchemy Philosophy.
SQL Expression Language.
SQLAlchemy with Framework.
SQLAlchemy Resources.

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