DatriseAI-first ETL

Desk Com PlanetScale

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

How Datrise loads Desk Com into PlanetScale

Datrise syncs Desk Com'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

Desk Com: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Desk Com entities map to PlanetScale

Desk Com entityPlanetScale objectNotes
recordsdesk_com_recordsid PK · custom fields → JSON columns
eventsdesk_com_eventsDATETIME events
configuration objectsdesk_com_configuration_objectsid PK · linked to desk_com_records

FAQ

How does Datrise handle Desk Com'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 Desk Com 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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