Firebase to ThoughtSpot Integration
AI-first ETL from Firebase into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Firebase into ThoughtSpot
Datrise syncs Firebase's users, collections, documents, auth events, app events, and security rules into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Firebase: App backend with auth, storage, and analytics.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Firebase entities map to ThoughtSpot
| Firebase entity | ThoughtSpot object | Notes |
|---|---|---|
| users | firebase_users | id PK · custom fields → flattened columns for searchable fields |
| collections | firebase_collections | id PK · linked to firebase_users |
| documents | firebase_documents | id PK · linked to firebase_users |
| auth events | firebase_auth_events | date/time columns events |
FAQ
How does Datrise handle Firebase's custom fields in ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Firebase to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
More destinations for Firebase
More sources for ThoughtSpot
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