Firebase to Apache Superset Integration
AI-first ETL from Firebase into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Firebase into Apache Superset
Datrise syncs Firebase's users, collections, documents, auth events, app events, and security rules into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
Firebase: App backend with auth, storage, and analytics.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Firebase entities map to Apache Superset
| Firebase entity | Apache Superset object | Notes |
|---|---|---|
| users | firebase_users | id PK · custom fields → flattened columns for the explore UI |
| collections | firebase_collections | id PK · linked to firebase_users |
| documents | firebase_documents | id PK · linked to firebase_users |
| auth events | firebase_auth_events | temporal columns for time-series charts events |
FAQ
How does Datrise handle Firebase's custom fields in Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the Firebase to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Firebase
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Early access
Connect Firebase to Apache Superset the easy way
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