DatriseAI-first ETL

Mailjet to PlanetScale Integration

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

How Datrise loads Mailjet into PlanetScale

Datrise syncs Mailjet's messages, contacts, campaigns, delivery events, lists, and templates 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

Mailjet: Email delivery across transactional and marketing sends.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Mailjet entities map to PlanetScale

Mailjet entityPlanetScale objectNotes
messagesmailjet_messagesid PK · custom fields → JSON columns
contactsmailjet_contactsid PK · linked to mailjet_messages
campaignsmailjet_campaignsid PK · linked to mailjet_messages
delivery eventsmailjet_delivery_eventsDATETIME events

FAQ

How does Datrise handle Mailjet'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 Mailjet 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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