DatriseAI-first ETL

Firebase to Holistics Integration

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

How Datrise loads Firebase into Holistics

Datrise syncs Firebase's users, collections, documents, auth events, app events, and security rules into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Firebase: App backend with auth, storage, and analytics.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Firebase entities map to Holistics

Firebase entityHolistics objectNotes
usersfirebase_usersid PK · custom fields → flattened columns for the modeling layer
collectionsfirebase_collectionsid PK · linked to firebase_users
documentsfirebase_documentsid PK · linked to firebase_users
auth eventsfirebase_auth_eventsdate/time dimensions events

FAQ

How does Datrise handle Firebase's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Firebase to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

Connect Firebase to Holistics 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.