DatriseAI-first ETL

Ga4 Supabase

AI-first ETL from Ga4 into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Ga4 into Supabase

Datrise syncs Ga4's records, events, and configuration objects 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

Ga4: SaaS or API data source for analytics and warehouse sync.

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

How Ga4 entities map to Supabase

Ga4 entitySupabase objectNotes
recordsga4_recordsid PK · custom fields → jsonb columns
eventsga4_eventstimestamptz events
configuration objectsga4_configuration_objectsid PK · linked to ga4_records

FAQ

How does Datrise handle Ga4'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 Ga4 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

Early access

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