DatriseAI-first ETL

Zendesk Support PlanetScale

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

How Datrise loads Zendesk Support into PlanetScale

Datrise syncs Zendesk Support's records, events, and configuration objects 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 Support: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Zendesk Support entities map to PlanetScale

Zendesk Support entityPlanetScale objectNotes
recordszendesk_support_recordsid PK · custom fields → JSON columns
eventszendesk_support_eventsDATETIME events
configuration objectszendesk_support_configuration_objectsid PK · linked to zendesk_support_records

FAQ

How does Datrise handle Zendesk Support'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 Support 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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