Allbound → Supabase
AI-first ETL from Allbound into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Allbound into Supabase
Datrise syncs Allbound's contacts, accounts, deals, activities, and lifecycle events 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
Allbound: Partner relationship management for channels and co-sell motions.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How Allbound entities map to Supabase
| Allbound entity | Supabase object | Notes |
|---|---|---|
| contacts | allbound_contacts | id PK · custom fields → jsonb columns |
| accounts | allbound_accounts | id PK · linked to allbound_contacts |
| deals | allbound_deals | id PK · linked to allbound_contacts |
| activities | allbound_activities | timestamptz events |
FAQ
How does Datrise handle Allbound'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 Allbound 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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