ClickHouse Denormalization vs. Joins: A 2026 Decision Guide

A new guide from ClickHouse engineers provides a decision framework for choosing between denormalization and normalization in analytical data modeling. Modern join algorithms have made normalized joins performant enough for many workloads, shifting the tradeoff from engine limitations to operational concerns. The guide covers when denormalization still wins on read performance and when normalization offers simpler pipelines and better governance.