Measure performance of ClickHouse on Arm servers

Who is this for?

This is an introductory topic for software developers who want to use ClickHouse on Arm-based cloud instances.

What will you learn?

After completing this Learning Path, you'll be able to perform the following tasks:

  • Learn how to install and measure ClickHouse performance
  • Determine the appropriate instance configuration needed for your workloads

Prerequisites

Before starting, you'll need the following prerequisites:

Summary

AI-assisted

This summary was drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.

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You’ll install ClickHouse on an Arm-based cloud instance, load the ClickBench web-analytics dataset, and run ClickBench to measure query latency. You’ll execute the benchmark on an Arm server, observe per‑query timings, and repeat runs across candidate instance sizes to compare results. By collecting consistent measurements and interpreting the output, you can make instance sizing decisions for analytical workloads on Arm.
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