DatriseAI-first ETL

Campaign Monitor to ClickHouse Integration

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

How Datrise loads Campaign Monitor into ClickHouse

Datrise syncs Campaign Monitor's subscribers, campaigns, lists, segments, email events, and automations 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

Campaign Monitor: Email campaign delivery and subscriber management.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Campaign Monitor entities map to ClickHouse

Campaign Monitor entityClickHouse objectNotes
subscriberscampaign_monitor_subscribersid PK · custom fields → JSON or Map columns
campaignscampaign_monitor_campaignsid PK · linked to campaign_monitor_subscribers
listscampaign_monitor_listsid PK · linked to campaign_monitor_subscribers
segmentscampaign_monitor_segmentsid PK · linked to campaign_monitor_subscribers

FAQ

How does Datrise handle Campaign Monitor'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 Campaign Monitor 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

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