DatriseAI-first ETL

Firebase Realtime Database PlanetScale

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

How Datrise loads Firebase Realtime Database into PlanetScale

Datrise syncs Firebase Realtime Database'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

Firebase Realtime Database: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Firebase Realtime Database entities map to PlanetScale

Firebase Realtime Database entityPlanetScale objectNotes
recordsfirebase_realtime_database_recordsid PK · custom fields → JSON columns
eventsfirebase_realtime_database_eventsDATETIME events
configuration objectsfirebase_realtime_database_configuration_objectsid PK · linked to firebase_realtime_database_records

FAQ

How does Datrise handle Firebase Realtime Database'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 Realtime Database 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 Firebase Realtime Database 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.