Postmark to MySQL Integration

How Datrise loads Postmark into MySQL

Datrise syncs Postmark's messages, servers, delivery events, bounces, opens, and message streams into MySQL 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/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Postmark: Transactional email delivery with detailed events.

MySQL: Widely used OSS relational engine (InnoDB).

How Postmark entities map to MySQL

Postmark entity	MySQL 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/TIMESTAMP events
bounces	`postmark_app_bounces`	id PK · linked to postmark_app_messages

FAQ

How does Datrise handle Postmark's custom fields in MySQL?

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 MySQL types.

How does the Postmark to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

Connect Postmark to MySQL the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.