DatriseAI-first ETL

Responsys to PlanetScale Integration

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

How Datrise loads Responsys into PlanetScale

Datrise syncs Responsys's contacts, campaigns, launches, message events, lists, and profile extensions 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

Responsys: Enterprise cross-channel campaign orchestration.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Responsys entities map to PlanetScale

Responsys entityPlanetScale objectNotes
contactsresponsys_contactsid PK · custom fields → JSON columns
campaignsresponsys_campaignsid PK · linked to responsys_contacts
launchesresponsys_launchesid PK · linked to responsys_contacts
message eventsresponsys_message_eventsDATETIME events

FAQ

How does Datrise handle Responsys'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 Responsys 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

Connect Responsys to PlanetScale the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.