Google Analytics 360 → Supabase

AI-first ETL from Google Analytics 360 into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 360 into Supabase

Datrise syncs Google Analytics 360'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

Google Analytics 360: SaaS or API data source for analytics and warehouse sync.

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

How Google Analytics 360 entities map to Supabase

Google Analytics 360 entity	Supabase object	Notes
records	`google_analytics_360_records`	id PK · custom fields → jsonb columns
events	`google_analytics_360_events`	timestamptz events
configuration objects	`google_analytics_360_configuration_objects`	id PK · linked to google_analytics_360_records

FAQ

How does Datrise handle Google Analytics 360'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 360 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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