DatriseAI-first ETL

Mautic to PlanetScale Integration

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

How Datrise loads Mautic into PlanetScale

Datrise syncs Mautic's contacts, segments, campaigns, forms, page hits, and email stats 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

Mautic: Open-source marketing automation with contact tracking.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Mautic entities map to PlanetScale

Mautic entityPlanetScale objectNotes
contactsmautic_contactsid PK · custom fields → JSON columns
segmentsmautic_segmentsid PK · linked to mautic_contacts
campaignsmautic_campaignsid PK · linked to mautic_contacts
formsmautic_formsid PK · linked to mautic_contacts

FAQ

How does Datrise handle Mautic'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 Mautic 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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