DatriseAI-first ETL

Facebook Marketing PlanetScale

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

How Datrise loads Facebook Marketing into PlanetScale

Datrise syncs Facebook 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

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

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Facebook Marketing entities map to PlanetScale

Facebook Marketing entityPlanetScale objectNotes
recordsfacebook_marketing_recordsid PK · custom fields → JSON columns
eventsfacebook_marketing_eventsDATETIME events
configuration objectsfacebook_marketing_configuration_objectsid PK · linked to facebook_marketing_records

FAQ

How does Datrise handle Facebook 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 Facebook 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.

Related pipelines

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