From 4 Minutes to 18 Seconds: PostgreSQL's Hidden Performance Patterns

Most data engineers loading data into PostgreSQL don't realize the performance gap between their chosen method can exceed 200x. When your pipeline needs to load millions of rows on a schedule, choosing COPY over pandas.to_sql() can be the difference between viable and broken. This article covers the patterns that actually matter when you're building production systems, not just optimizing ad-hoc queries.