While normalization optimizes database structure for integrity and reduces redundancy, denormalization introduces some redundancy to improve query performance, especially in read-heavy systems.

In SQL, normalization and denormalization are two key techniques used to organize data in a database. Both aim to improve performance, but they serve different purposes.