DatriseAI-first ETL

Salesforce Pardot PlanetScale

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

How Datrise loads Salesforce Pardot into PlanetScale

Datrise syncs Salesforce Pardot'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 Pardot: Marketing automation platform with CRM and lifecycle engagement.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Salesforce Pardot entities map to PlanetScale

Salesforce Pardot entityPlanetScale objectNotes
contactssalesforce_pardot_contactsid PK · custom fields → JSON columns
accountssalesforce_pardot_accountsid PK · linked to salesforce_pardot_contacts
dealssalesforce_pardot_dealsid PK · linked to salesforce_pardot_contacts
activitiessalesforce_pardot_activitiesDATETIME events

FAQ

How does Datrise handle Salesforce Pardot'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 Pardot 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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