DatriseAI-first ETL

EngageBay to PlanetScale Integration

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

How Datrise loads EngageBay into PlanetScale

Datrise syncs EngageBay's contacts, deals, tickets, sequences, forms, and landing pages 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

EngageBay: All-in-one CRM with marketing, sales, and service bays.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How EngageBay entities map to PlanetScale

EngageBay entityPlanetScale objectNotes
contactsengagebay_contactsid PK · custom fields → JSON columns
dealsengagebay_dealsid PK · linked to engagebay_contacts
ticketsengagebay_ticketsid PK · linked to engagebay_contacts
sequencesengagebay_sequencesid PK · linked to engagebay_contacts

FAQ

How does Datrise handle EngageBay'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 EngageBay 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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