DatriseAI-first ETL

Freshcaller to Supabase Integration

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

How Datrise loads Freshcaller into Supabase

Datrise syncs Freshcaller's calls, agents, queues, phone numbers, call metrics, and recordings 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

Freshcaller: Cloud call center for support and sales.

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

How Freshcaller entities map to Supabase

Freshcaller entitySupabase objectNotes
callsfreshcaller_callsid PK · custom fields → jsonb columns
agentsfreshcaller_agentsid PK · linked to freshcaller_calls
queuesfreshcaller_queuesid PK · linked to freshcaller_calls
phone numbersfreshcaller_phone_numbersid PK · linked to freshcaller_calls

FAQ

How does Datrise handle Freshcaller'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 Freshcaller 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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