DatriseAI-first ETL

Zendesk Talk to Supabase Integration

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

How Datrise loads Zendesk Talk into Supabase

Datrise syncs Zendesk Talk's calls, agents, queues, call legs, recordings, and call metrics 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 Talk: Voice support calls and queue performance.

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

How Zendesk Talk entities map to Supabase

Zendesk Talk entitySupabase objectNotes
callszendesk_talk_callsid PK · custom fields → jsonb columns
agentszendesk_talk_agentsid PK · linked to zendesk_talk_calls
queueszendesk_talk_queuesid PK · linked to zendesk_talk_calls
call legszendesk_talk_call_legsid PK · linked to zendesk_talk_calls

FAQ

How does Datrise handle Zendesk Talk'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 Talk 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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