A Postgres database speed test. Who wins?
This article builds on a previous comparison of Pandas and Polars libraries for data transfer with a Postgres database. The focus here is a similar speed comparison between Pandas and Psycopg2.
For those needing to transfer data between a Postgres database table and a local file, this comparison aims to identify the more efficient tool.
The Pandas v Polars article is available via the following link: Pandas v Polars: A database speed test. Who wins?
Pandas
Pandas is a widely used Python library for data manipulation and analysis. It serves as a primary tool for loading, exploring, visualizing, and processing substantial datasets within Python environments.
Psycopg
Psycopg is a prominent PostgreSQL database adapter for Python. It adheres to the Python Database API Specification v2.0, enabling Python applications to interact with PostgreSQL databases.
