Database query optimization is the systematic process of improving query execution speed and resource efficiency through analysis of execution plans, strategic indexing, and query rewriting. It sits at the intersection of database administration, application performance engineering, and data architecture, directly impacting user experience and infrastructure costs. The key mental model: the query optimizer makes decisions based on statistics and heuristics, but understanding how it thinks—through execution plans—lets you guide it toward better choices when automatic optimization falls short.