Firebase to Neon Integration
AI-first ETL from Firebase into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Firebase into Neon
Datrise syncs Firebase's users, collections, documents, auth events, app events, and security rules into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Firebase: App backend with auth, storage, and analytics.
Neon: Serverless Postgres destination with branching and autoscaling.
How Firebase entities map to Neon
| Firebase entity | Neon object | Notes |
|---|---|---|
| users | firebase_users | id PK · custom fields → jsonb columns |
| collections | firebase_collections | id PK · linked to firebase_users |
| documents | firebase_documents | id PK · linked to firebase_users |
| auth events | firebase_auth_events | timestamptz events |
FAQ
How does Datrise handle Firebase's custom fields in Neon?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.
How does the Firebase to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Firebase
Early access
Connect Firebase to Neon 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.