DatriseAI-first ETL

Zendesk Sunshine to PlanetScale Integration

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

How Datrise loads Zendesk Sunshine into PlanetScale

Datrise syncs Zendesk Sunshine's custom objects, object records, profiles, events, relationships, and attributes 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 Sunshine: Custom objects and unified customer profiles.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Zendesk Sunshine entities map to PlanetScale

Zendesk Sunshine entityPlanetScale objectNotes
custom objectszendesk_sunshine_custom_objectsid PK · custom fields → JSON columns
object recordszendesk_sunshine_object_recordsid PK · linked to zendesk_sunshine_custom_objects
profileszendesk_sunshine_profilesid PK · linked to zendesk_sunshine_custom_objects
eventszendesk_sunshine_eventsDATETIME events

FAQ

How does Datrise handle Zendesk Sunshine'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 Sunshine 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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