DatriseAI-first ETL

Postmark to Spreadsheets Integration

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

How Datrise loads Postmark into Spreadsheets

Datrise syncs Postmark's messages, servers, delivery events, bounces, opens, and message streams into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Postmark: Transactional email delivery with detailed events.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Postmark entities map to Spreadsheets

Postmark entitySpreadsheets objectNotes
messagespostmark_app_messagesid PK · custom fields → JSON-stringified cells for nested fields
serverspostmark_app_serversid PK · linked to postmark_app_messages
delivery eventspostmark_app_delivery_eventsISO-8601 text or serial date cells events
bouncespostmark_app_bouncesid PK · linked to postmark_app_messages

FAQ

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

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

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

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

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