The Real Cost of Self-Hosting Observability on ClickHouse

ClickHouse offers strong storage economics through columnar compression, open-source licensing, and efficient querying, but using it as a self-hosted observability platform requires additional engineering for OpenTelemetry ingestion, schemas, cross-signal correlation, dashboards, alerting, application-level access controls, SSO, multi-tenancy, retention policies, and user-facing interfaces. At production scale, operational complexity can grow through sharding, rebalancing, replication, ClickHouse Keeper coordination, and limitations in fully separating storage from compute in self-hosted deployments, making engineering labor and ongoing ownership significant components of total cost. Building directly on ClickHouse may remain suitable for organizations with existing expertise, dedicated platform teams, highly customized analytical needs, or stable scale requirements. The piece presents OpenObserve as an alternative that uses object-storage-based columnar data while providing observability features such as native ingestion, unified querying, dashboards, alerting, RBAC, and SSO, arguing that teams should compare the full cost of achieving and maintaining production-grade observability rather than database infrastructure costs alone.

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