Best Practices in ClickHouse Cloud

This section provides best practices you will want to follow to get the most out of ClickHouse Cloud.

Page	Description
Usage Limits	Explore the limits of ClickHouse.
Multi tenancy	Learn about different strategies to implement multi-tenancy.

These are in addition to the standard best practices which apply to all deployments of ClickHouse.

Page	Description
Choosing a Primary Key	How to select primary keys that maximize query performance and minimize storage overhead.
Select Data Types	Choose optimal data types to reduce memory usage, improve compression, and accelerate queries.
Use Materialized Views	Leverage materialized views to pre-aggregate data and dramatically speed up analytical queries.
Minimize and Optimize JOINs	Best practices for using ClickHouse's JOIN capabilities efficiently.
Choosing a Partitioning Key	Select partitioning strategies that enable efficient data pruning and faster query execution.
Selecting an Insert Strategy	Optimize data ingestion throughput and reduce resource consumption with proper insert patterns.
Data Skipping Indices	Apply secondary indices strategically to skip irrelevant data blocks and accelerate filtered queries.
Avoid Mutations	Design schemas and workflows that eliminate costly UPDATE/DELETE operations for better performance.
Avoid OPTIMIZE FINAL	Prevent performance bottlenecks by understanding when OPTIMIZE FINAL hurts more than it helps.
Use JSON where appropriate	Balance flexibility and performance when working with semi-structured JSON data in ClickHouse.