DatriseAI-first ETL

Zendesk Support to Supabase Integration

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

How Datrise loads Zendesk Support into Supabase

Datrise syncs Zendesk Support's tickets, users, organizations, macros, satisfaction ratings, and ticket comments 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

Zendesk Support: Customer support ticketing and agent workflows.

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

How Zendesk Support entities map to Supabase

Zendesk Support entitySupabase objectNotes
ticketszendesk_support_ticketsid PK · custom fields → jsonb columns
userszendesk_support_usersid PK · linked to zendesk_support_tickets
organizationszendesk_support_organizationsid PK · linked to zendesk_support_tickets
macroszendesk_support_macrosid PK · linked to zendesk_support_tickets

FAQ

How does Datrise handle Zendesk Support'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 Zendesk Support 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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