Pranav Mehta, Member of Technical Staff-4 @ Nutanix Shiv Jha, Staff Engineer @ Nutanix
ClickHouse is renowned for its high-performance analytics—but can it run on resource-constrained environments? In this talk, we present the findings from our deep-dive benchmark of ClickHouse on Kubernetes with as little as 4GB RAM. We share insights into system bottlenecks, including aggressive page cache accumulation, jemalloc tuning, and the impact of transparent huge pages. You’ll learn how we systematically pushed ClickHouse to its limits, what failed, what worked, and the trade-offs between stability and performance. This session offers practical recommendations for running ClickHouse in memory-constrained environments.

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Mayank Joshi, Co-Founder & CTO @ Auditzy

How building an LLM prompt SDK led us to typesafe ClickHouse queries
Nicole White Autoblocks

Buildkite's early adventure with ClickHouse in Test Analytics
Gordon Chan, Staff Engineer at Buildkite