DatriseAI-first ETL

Allbound to Supabase Integration

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

How Datrise loads Allbound into Supabase

Datrise syncs Allbound's partners, deal registrations, leads, content assets, learning tracks, and partner users 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 portal for enablement, content, and deal registration.

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

How Allbound entities map to Supabase

Allbound entitySupabase objectNotes
partnersallbound_partnersid PK · custom fields → jsonb columns
deal registrationsallbound_deal_registrationsid PK · linked to allbound_partners
leadsallbound_leadsid PK · linked to allbound_partners
content assetsallbound_content_assetsid PK · linked to allbound_partners

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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