DatriseAI-first ETL

Zendesk Sell Supabase

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

How Datrise loads Zendesk Sell into Supabase

Datrise syncs Zendesk Sell's leads, deals, activities, and Zendesk-aligned sales operations 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 Sell: Sales CRM for lead and deal tracking in Zendesk ecosystems.

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

How Zendesk Sell entities map to Supabase

Zendesk Sell entitySupabase objectNotes
leadszendesk_sell_leadsid PK · custom fields → jsonb columns
dealszendesk_sell_dealsid PK · linked to zendesk_sell_leads
activitieszendesk_sell_activitiestimestamptz events
Zendesk-aligned sales operationszendesk_sell_zendesk_aligned_sales_operationsid PK · linked to zendesk_sell_leads

FAQ

How does Datrise handle Zendesk Sell'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 Sell 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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