DatriseAI-first ETL

Pagerduty to Supabase Integration

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

How Datrise loads Pagerduty into Supabase

Datrise syncs Pagerduty's incidents, services, schedules, escalation policies, log entries, and responders 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

Pagerduty: Incident response, on-call schedules, and escalation.

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

How Pagerduty entities map to Supabase

Pagerduty entitySupabase objectNotes
incidentspagerduty_incidentsid PK · custom fields → jsonb columns
servicespagerduty_servicesid PK · linked to pagerduty_incidents
schedulespagerduty_schedulesid PK · linked to pagerduty_incidents
escalation policiespagerduty_escalation_policiesid PK · linked to pagerduty_incidents

FAQ

How does Datrise handle Pagerduty'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 Pagerduty 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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