DatriseAI-first ETL

Firebase to PlanetScale Integration

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

How Datrise loads Firebase into PlanetScale

Datrise syncs Firebase's users, collections, documents, auth events, app events, and security rules 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

Firebase: App backend with auth, storage, and analytics.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Firebase entities map to PlanetScale

Firebase entityPlanetScale objectNotes
usersfirebase_usersid PK · custom fields → JSON columns
collectionsfirebase_collectionsid PK · linked to firebase_users
documentsfirebase_documentsid PK · linked to firebase_users
auth eventsfirebase_auth_eventsDATETIME events

FAQ

How does Datrise handle Firebase'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 Firebase 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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