DatriseAI-first ETL

Campaign Monitor to PlanetScale Integration

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

How Datrise loads Campaign Monitor into PlanetScale

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Campaign Monitor: Email campaign delivery and subscriber management.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Campaign Monitor entities map to PlanetScale

Campaign Monitor entityPlanetScale objectNotes
subscriberscampaign_monitor_subscribersid PK · custom fields → JSON 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 PlanetScale?

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

How does the Campaign Monitor to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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