DatriseAI-first ETL

Salesforce Marketing Cloud to PlanetScale Integration

AI-first ETL from Salesforce Marketing Cloud into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Marketing Cloud into PlanetScale

Datrise syncs Salesforce Marketing Cloud's subscribers, data extensions, journeys, sends, email events, and lists 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

Salesforce Marketing Cloud: Enterprise email, journeys, and cross-channel messaging.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Salesforce Marketing Cloud entities map to PlanetScale

Salesforce Marketing Cloud entityPlanetScale objectNotes
subscriberssalesforce_marketing_cloud_subscribersid PK · custom fields → JSON columns
data extensionssalesforce_marketing_cloud_data_extensionsid PK · linked to salesforce_marketing_cloud_subscribers
journeyssalesforce_marketing_cloud_journeysid PK · linked to salesforce_marketing_cloud_subscribers
sendssalesforce_marketing_cloud_sendsid PK · linked to salesforce_marketing_cloud_subscribers

FAQ

How does Datrise handle Salesforce Marketing Cloud'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 Salesforce Marketing Cloud 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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