DatriseAI-first ETL

Rd Station Marketing PlanetScale

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

How Datrise loads Rd Station Marketing into PlanetScale

Datrise syncs Rd Station Marketing'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

Rd Station Marketing: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Rd Station Marketing entities map to PlanetScale

Rd Station Marketing entityPlanetScale objectNotes
recordsrd_station_marketing_recordsid PK · custom fields → JSON columns
eventsrd_station_marketing_eventsDATETIME events
configuration objectsrd_station_marketing_configuration_objectsid PK · linked to rd_station_marketing_records

FAQ

How does Datrise handle Rd Station Marketing'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 Rd Station Marketing to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

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