DatriseAI-first ETL

Zendesk PlanetScale

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

How Datrise loads Zendesk into PlanetScale

Datrise syncs Zendesk's tickets, users, organizations, macros, and satisfaction ratings 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

Zendesk: Customer support suite with tickets and knowledge base.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Zendesk entities map to PlanetScale

Zendesk entityPlanetScale objectNotes
ticketszendesk_ticketsid PK · custom fields → JSON columns
userszendesk_usersid PK · linked to zendesk_tickets
organizationszendesk_organizationsid PK · linked to zendesk_tickets
macroszendesk_macrosid PK · linked to zendesk_tickets

FAQ

How does Datrise handle Zendesk'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 Zendesk 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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