DatriseAI-first ETL

Aftership to Supabase Integration

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

How Datrise loads Aftership into Supabase

Datrise syncs Aftership's shipments, trackings, checkpoints, couriers, delivery statuses, and notifications 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

Aftership: Shipment tracking and delivery notifications.

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

How Aftership entities map to Supabase

Aftership entitySupabase objectNotes
shipmentsaftership_shipmentsid PK · custom fields → jsonb columns
trackingsaftership_trackingsid PK · linked to aftership_shipments
checkpointsaftership_checkpointsid PK · linked to aftership_shipments
couriersaftership_couriersid PK · linked to aftership_shipments

FAQ

How does Datrise handle Aftership'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 Aftership 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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