Looker → Supabase
AI-first ETL from Looker into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Looker into Supabase
Datrise syncs Looker'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
Looker: SaaS or API data source for analytics and warehouse sync.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How Looker entities map to Supabase
| Looker entity | Supabase object | Notes |
|---|---|---|
| records | looker_records | id PK · custom fields → jsonb columns |
| events | looker_events | timestamptz events |
| configuration objects | looker_configuration_objects | id PK · linked to looker_records |
FAQ
How does Datrise handle Looker'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 Looker 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
More destinations for Looker
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