# Top 10 best practices tips for ClickHouse

DevFeed: [Top 10 best practices tips for ClickHouse](<https://devfeed.tech/articles/top-10-best-practices-tips-for-clickhouse-4884.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/10-best-practice-tips>)

Author: Yonatan Dolan

Published: 2026-03-26T00:00:00Z

Content type: article

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [data-modeling](<https://devfeed.tech/topics/data-modeling.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Compression](<https://devfeed.tech/topics/compression.md>), [Sorting](<https://devfeed.tech/topics/sorting.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [Monitoring](<https://devfeed.tech/topics/monitoring.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [compression](<https://devfeed.tech/tags/compression.md>), [data](<https://devfeed.tech/tags/data.md>), [data-modeling](<https://devfeed.tech/tags/data-modeling.md>), [database](<https://devfeed.tech/tags/database.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [observability](<https://devfeed.tech/tags/observability.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [popular](<https://devfeed.tech/tags/popular.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [reduce](<https://devfeed.tech/tags/reduce.md>), [sorting](<https://devfeed.tech/tags/sorting.md>), [techniques](<https://devfeed.tech/tags/techniques.md>)

## AI overview

A practical guide to ten ClickHouse best practices for improving query performance, compression, storage efficiency, and analytical workloads. It covers primary-key and sorting-key design, data types, schema and data modeling, table engines, materialized views, query and join optimization, and monitoring, with benchmark examples based on a 150-million-row dataset.

## Source excerpt

Ten best practices for getting the most out of ClickHouse, from primary key design and data types to materialized views, ReplacingMergeTree, and join optimization -- illustrated with benchmarks on a 150M row dataset.