Postmark to PlanetScale Integration
AI-first ETL from Postmark into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Postmark into PlanetScale
Datrise syncs Postmark's messages, servers, delivery events, bounces, opens, and message streams into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Postmark: Transactional email delivery with detailed events.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Postmark entities map to PlanetScale
| Postmark entity | PlanetScale object | Notes |
|---|---|---|
| messages | postmark_app_messages | id PK · custom fields → JSON columns |
| servers | postmark_app_servers | id PK · linked to postmark_app_messages |
| delivery events | postmark_app_delivery_events | DATETIME events |
| bounces | postmark_app_bounces | id PK · linked to postmark_app_messages |
FAQ
How does Datrise handle Postmark's custom fields in PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the Postmark to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Postmark
More sources for PlanetScale
Early access
Connect Postmark to PlanetScale the easy way
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