Alex Merced 2/19/2026

Denormalization: When and Why to Flatten Your Data

Read Original

This technical article details the concept of database denormalization, contrasting it with normalization. It explains the performance trade-offs, outlines specific techniques for flattening data, and provides clear guidelines on when denormalization is appropriate (e.g., for analytics, BI tools, and AI queries) and when it should be avoided to maintain data integrity.

Denormalization: When and Why to Flatten Your Data

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
The Beautiful Web
Jens Oliver Meiert 2 votes
2
Container queries are rad AF!
Chris Ferdinandi 2 votes
3
Wagon’s algorithm in Python
John D. Cook 1 votes
5
Top picks — 2026 January
Paweł Grzybek 1 votes
6
In Praise of –dry-run
Henrik Warne 1 votes
8
Vibe coding your first iOS app
William Denniss 1 votes