Salesforce Marketing Cloud → PlanetScale
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 records, events, and configuration objects 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: SaaS or API data source for analytics and warehouse sync.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Salesforce Marketing Cloud entities map to PlanetScale
| Salesforce Marketing Cloud entity | PlanetScale object | Notes |
|---|---|---|
| records | salesforce_marketing_cloud_records | id PK · custom fields → JSON columns |
| events | salesforce_marketing_cloud_events | DATETIME events |
| configuration objects | salesforce_marketing_cloud_configuration_objects | id PK · linked to salesforce_marketing_cloud_records |
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
More destinations for Salesforce Marketing Cloud
- Salesforce Marketing Cloud → Amazon DynamoDB
- Salesforce Marketing Cloud → Looker
- Salesforce Marketing Cloud → Looker Studio
- Salesforce Marketing Cloud → Microsoft Power BI
- Salesforce Marketing Cloud → Tableau
- Salesforce Marketing Cloud → Apache Superset
- Salesforce Marketing Cloud → Metabase
- Salesforce Marketing Cloud → Amazon QuickSight
- Salesforce Marketing Cloud → Domo
- Salesforce Marketing Cloud → Sisense
- Salesforce Marketing Cloud → ThoughtSpot
- Salesforce Marketing Cloud → Qlik
More sources for PlanetScale
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