Keep clickhouse integration splunk queryable

Splunk–ClickHouse integrations are presented as a dual-index architecture in which Splunk remains the primary tool for keyword search, incident investigation, SPL dashboards, and short-term operational workflows, while ClickHouse supports lower-cost SQL aggregations, longer retention, cross-source joins, embedded dashboards, and product-facing APIs. Because Splunk does not natively forward data to ClickHouse, the integration requires an explicit bridge: application logs can be dual-written through Splunk HTTP Event Collector and ClickHouse-compatible HTTP ingestion, infrastructure logs can be cloned from universal forwarders through heavy forwarders and Kafka, and historical data can be replayed from S3-compatible archives. The approach depends on a shared field contract that maps Splunk metadata and raw events into typed ClickHouse columns, normalizes timestamps and schemas, preserves raw data for audit purposes, and verifies parity between Splunk and ClickHouse counts to detect drift. The text recommends materialized rollups, schema validation and quarantine handling, retention tiers spanning Splunk hot data, ClickHouse analytics data, and long-term object storage, while warning against placing HEC on universal forwarders, relying only on raw log fields, overlooking time-zone differences, assuming native forwarding exists, and extracting excessive high-cardinality fields. Tinybird is described as a managed ClickHouse option for teams seeking streaming ingestion and SQL APIs without operating the underlying pipeline.

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