DatriseAI-first ETL

Google Analytics 4 to Supabase Integration

AI-first ETL from Google Analytics 4 into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 4 into Supabase

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Supabase as a typed table per source entity in your Supabase Postgres. 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Google Analytics 4: Event-based web and app analytics from Google.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Google Analytics 4 entities map to Supabase

Google Analytics 4 entitySupabase objectNotes
eventsga4_eventstimestamptz events
usersga4_usersid PK · linked to ga4_events
sessionsga4_sessionsid PK · linked to ga4_events
traffic sourcesga4_traffic_sourcesid PK · linked to ga4_events

FAQ

How does Datrise handle Google Analytics 4's custom fields in Supabase?

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 Supabase types.

How does the Google Analytics 4 to Supabase sync stay up to date?

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

Related pipelines

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