DatriseAI-first ETL

ChurnZero PlanetScale

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

How Datrise loads ChurnZero into PlanetScale

Datrise syncs ChurnZero's contacts, accounts, deals, activities, and lifecycle events 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

ChurnZero: Customer success platform for health scores, playbooks, and renewals.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How ChurnZero entities map to PlanetScale

ChurnZero entityPlanetScale objectNotes
contactschurnzero_contactsid PK · custom fields → JSON columns
accountschurnzero_accountsid PK · linked to churnzero_contacts
dealschurnzero_dealsid PK · linked to churnzero_contacts
activitieschurnzero_activitiesDATETIME events

FAQ

How does Datrise handle ChurnZero'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 ChurnZero 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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