DatriseAI-first ETL

Zendesk Chat Supabase

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

How Datrise loads Zendesk Chat into Supabase

Datrise syncs Zendesk Chat's chats, agents, visitors, departments, and response times 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 Chat: Live chat conversations and agent performance.

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

How Zendesk Chat entities map to Supabase

Zendesk Chat entitySupabase objectNotes
chatszendesk_chat_chatsid PK · custom fields → jsonb columns
agentszendesk_chat_agentsid PK · linked to zendesk_chat_chats
visitorszendesk_chat_visitorsid PK · linked to zendesk_chat_chats
departmentszendesk_chat_departmentsid PK · linked to zendesk_chat_chats

FAQ

How does Datrise handle Zendesk Chat'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 Chat 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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