DatriseAI-first ETL

Postmark to Supabase Integration

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

How Datrise loads Postmark into Supabase

Datrise syncs Postmark's messages, servers, delivery events, bounces, opens, and message streams 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

Postmark: Transactional email delivery with detailed events.

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

How Postmark entities map to Supabase

Postmark entitySupabase objectNotes
messagespostmark_app_messagesid PK · custom fields → jsonb columns
serverspostmark_app_serversid PK · linked to postmark_app_messages
delivery eventspostmark_app_delivery_eventstimestamptz events
bouncespostmark_app_bouncesid PK · linked to postmark_app_messages

FAQ

How does Datrise handle Postmark'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 Postmark 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

Early access

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