# Column(DateTime) vs Column(TIMESTAMP(timezone=True)) This article explains the differences between Column(TIMESTAMP(timezone=True)) and Column(DateTime) in SQLAlchemy. Both data types are used to store date and time values, but they differ in whether they include timezone information. The article provides guidance on when to use each data type, based on the timezone requirements of your application. Additionally, the article notes that the behavior of these data types may depend on the specific database backend being used. # Introduction Both `Column(TIMESTAMP(timezone=True))` and `Column(DateTime)` can be used to define a column in SQLAlchemy to store a date and time value. However, there are some differences between the two types of columns: # "Column(DateTime)" `Column(DateTime)` stores a date and time value without a timezone. This means that the value will be stored in the database exactly as it is provided, without any adjustmen...

# server_default=func.now() vs server_default=text('now()') This article discusses the differences between using server_default=func.now() and server_default=text('now()') in SQLAlchemy to specify a server-side default value for a column in a database table. The article explains how each method generates the default value, and provides guidance on when to use one method over the other based on your specific use case and database requirements. # Introduction Both `server_default=func.now()` and `server_default=text('now()')` can be used to specify a server-side default value for a column in SQLAlchemy, but they differ in how the default value is generated. # "server_default=func.now()" It uses a SQLAlchemy function ( `func.now()` ) to generate the current date and time on the database server. This function generates a SQL expression that is specific to the database dialect being used. For example, for a PostgreSQL da...