DatriseAI-first ETL

Salesforce Service Cloud PlanetScale

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

How Datrise loads Salesforce Service Cloud into PlanetScale

Datrise syncs Salesforce Service Cloud's contacts, accounts, deals, activities, and lifecycle events 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 Service Cloud: Enterprise CRM for complex sales, service, and revenue operations.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Salesforce Service Cloud entities map to PlanetScale

Salesforce Service Cloud entityPlanetScale objectNotes
contactssalesforce_service_cloud_contactsid PK · custom fields → JSON columns
accountssalesforce_service_cloud_accountsid PK · linked to salesforce_service_cloud_contacts
dealssalesforce_service_cloud_dealsid PK · linked to salesforce_service_cloud_contacts
activitiessalesforce_service_cloud_activitiesDATETIME events

FAQ

How does Datrise handle Salesforce Service 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 Service 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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