DatriseAI-first ETL

Intercom Tap ClickHouse

AI-first ETL from Intercom Tap into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Intercom Tap into ClickHouse

Datrise syncs Intercom Tap's records, events, and configuration objects into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Intercom Tap: SaaS or API data source for analytics and warehouse sync.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Intercom Tap entities map to ClickHouse

Intercom Tap entityClickHouse objectNotes
recordsintercom_tap_recordsid PK · custom fields → JSON or Map columns
eventsintercom_tap_eventsDateTime64 events
configuration objectsintercom_tap_configuration_objectsid PK · linked to intercom_tap_records

FAQ

How does Datrise handle Intercom Tap's custom fields in ClickHouse?

Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.

How does the Intercom Tap to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

Early access

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