DatriseAI-first ETL

Autopilot to PlanetScale Integration

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

How Datrise loads Autopilot into PlanetScale

Datrise syncs Autopilot's contacts, journeys, lists, email events, triggers, and custom fields 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

Autopilot: Visual marketing automation and customer journeys.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Autopilot entities map to PlanetScale

Autopilot entityPlanetScale objectNotes
contactsautopilot_contactsid PK · custom fields → JSON columns
journeysautopilot_journeysid PK · linked to autopilot_contacts
listsautopilot_listsid PK · linked to autopilot_contacts
email eventsautopilot_email_eventsDATETIME events

FAQ

How does Datrise handle Autopilot'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 Autopilot 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

Early access

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