Copper → Supabase
AI-first ETL from Copper into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Copper into Supabase
Datrise syncs Copper's Google Workspace CRM entities, opportunities, and relationship timelines 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
Copper: Google Workspace-native CRM.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How Copper entities map to Supabase
| Copper entity | Supabase object | Notes |
|---|---|---|
| Google Workspace CRM entities | copper_google_workspace_crm_entities | id PK · custom fields → jsonb columns |
| opportunities | copper_opportunities | id PK · linked to copper_google_workspace_crm_entities |
| relationship timelines | copper_relationship_timelines | timestamptz events |
FAQ
How does Datrise handle Copper'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 Copper to Supabase sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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