DatriseAI-first ETL

EmailOctopus to PlanetScale Integration

AI-first ETL from EmailOctopus into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads EmailOctopus into PlanetScale

Datrise syncs EmailOctopus's contacts, lists, campaigns, email events, tags, and automations 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

EmailOctopus: Lightweight email campaigns and list management.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How EmailOctopus entities map to PlanetScale

EmailOctopus entityPlanetScale objectNotes
contactsemailoctopus_contactsid PK · custom fields → JSON columns
listsemailoctopus_listsid PK · linked to emailoctopus_contacts
campaignsemailoctopus_campaignsid PK · linked to emailoctopus_contacts
email eventsemailoctopus_email_eventsDATETIME events

FAQ

How does Datrise handle EmailOctopus'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 EmailOctopus 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

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