DatriseAI-first ETL

Campaign Monitor to Amazon Redshift Integration

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

How Datrise loads Campaign Monitor into Amazon Redshift

Datrise syncs Campaign Monitor's subscribers, campaigns, lists, segments, email events, and automations into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

Campaign Monitor: Email campaign delivery and subscriber management.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Campaign Monitor entities map to Amazon Redshift

Campaign Monitor entityAmazon Redshift objectNotes
subscriberscampaign_monitor_subscribersid PK · custom fields → SUPER 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 Amazon Redshift?

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

How does the Campaign Monitor to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

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