Firebase Realtime Database to DuckDB Integration

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

How Datrise loads Firebase Realtime Database into DuckDB

Datrise syncs Firebase Realtime Database's nodes, child paths, JSON values, write events, references, and security rules into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

Firebase Realtime Database: JSON tree database with realtime synchronization.

DuckDB: In-process analytics database for fast local OLAP.

How Firebase Realtime Database entities map to DuckDB

Firebase Realtime Database entity	DuckDB object	Notes
nodes	`firebase_realtime_database_nodes`	id PK · custom fields → JSON or STRUCT columns
child paths	`firebase_realtime_database_child_paths`	id PK · linked to firebase_realtime_database_nodes
JSON values	`firebase_realtime_database_json_values`	id PK · linked to firebase_realtime_database_nodes
write events	`firebase_realtime_database_write_events`	TIMESTAMP WITH TIME ZONE events

FAQ

How does Datrise handle Firebase Realtime Database's custom fields in DuckDB?

Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.

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

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

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