Best Practices for Picking PostgreSQL Data Types

The text explores best practices for selecting data types in PostgreSQL and TimescaleDB, focusing on their suitability for applications that store and analyze large volumes of data, such as time series and logs. It emphasizes the importance of compression to optimize storage and input/output operations, especially in cloud environments. The discussion includes recommendations for data types like integers, floating-point numbers, timestamps with time zones, and JSONB, while advising against less efficient types such as numeric, char(n), and JSON. The text underscores the need to balance query speed, compressibility, and data requirements, providing insights into optimizing data type choices to enhance performance and manageability in TimescaleDB.