DatriseAI-first ETL

folk to Supabase Integration

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

How Datrise loads folk into Supabase

Datrise syncs folk's contacts, groups, deals, custom fields, interactions, and reminders 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

folk: Lightweight relationship CRM built on shared contact groups.

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

How folk entities map to Supabase

folk entitySupabase objectNotes
contactsfolk_contactsid PK · custom fields → jsonb columns
groupsfolk_groupsid PK · linked to folk_contacts
dealsfolk_dealsid PK · linked to folk_contacts
custom fieldsfolk_custom_fieldsid PK · linked to folk_contacts

FAQ

How does Datrise handle folk'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 folk 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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