DatriseAI-first ETL

Front to PlanetScale Integration

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

How Datrise loads Front into PlanetScale

Datrise syncs Front's conversations, messages, contacts, inboxes, tags, and teammates 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

Front: Shared inbox for team email and messaging.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Front entities map to PlanetScale

Front entityPlanetScale objectNotes
conversationsfrontapp_conversationsid PK · custom fields → JSON columns
messagesfrontapp_messagesid PK · linked to frontapp_conversations
contactsfrontapp_contactsid PK · linked to frontapp_conversations
inboxesfrontapp_inboxesid PK · linked to frontapp_conversations

FAQ

How does Datrise handle Front'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 Front 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

Early access

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