DatriseAI-first ETL

Firebase Realtime Database PostgreSQL

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

How Datrise loads Firebase Realtime Database into PostgreSQL

Datrise syncs Firebase Realtime Database's records, events, and configuration objects into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Firebase Realtime Database entities map to PostgreSQL

Firebase Realtime Database entityPostgreSQL objectNotes
recordsfirebase_realtime_database_recordsid PK · custom fields → jsonb columns
eventsfirebase_realtime_database_eventstimestamptz 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 PostgreSQL?

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 PostgreSQL types.

How does the Firebase Realtime Database to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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