Andy Lihani As teams scale AI and agentic workloads, log volumes can grow fast. That growth can force teams into a difficult trade-off: Keep logs searchable in their existing workflows, or store them cost-effectively for longer periods. For teams that rely on logs during incident response, compliance reviews, and long-running investigations, losing either affordability or searchability can slow down troubleshooting.
Datadog and ClickHouse are partnering to help remove that trade-off. Two new capabilities, now in Preview, let you route high-volume logs to ClickHouse through Datadog Observability Pipelines and search those logs directly from the Datadog Log Explorer without re-ingesting them into Datadog.
First, we’ll explain what ClickHouse is and why it is useful for high-volume observability data. Then we’ll describe how the integration enables you to:
Route logs to ClickHouse with Observability PipelinesSearch ClickHouse logs from the Log Explorer
What is ClickHouse?
