DatriseAI-first ETL

Zendesk Sell PlanetScale

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

How Datrise loads Zendesk Sell into PlanetScale

Datrise syncs Zendesk Sell's leads, deals, activities, and Zendesk-aligned sales operations 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 Sell: Sales CRM for lead and deal tracking in Zendesk ecosystems.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Zendesk Sell entities map to PlanetScale

Zendesk Sell entityPlanetScale objectNotes
leadszendesk_sell_leadsid PK · custom fields → JSON columns
dealszendesk_sell_dealsid PK · linked to zendesk_sell_leads
activitieszendesk_sell_activitiesDATETIME events
Zendesk-aligned sales operationszendesk_sell_zendesk_aligned_sales_operationsid PK · linked to zendesk_sell_leads

FAQ

How does Datrise handle Zendesk Sell'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 Sell 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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