DatriseAI-first ETL

VinSolutions to PlanetScale Integration

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

How Datrise loads VinSolutions into PlanetScale

Datrise syncs VinSolutions's leads, customers, vehicles, deals, appointments, and service records 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

VinSolutions: Dealer CRM tied to inventory and equity mining.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How VinSolutions entities map to PlanetScale

VinSolutions entityPlanetScale objectNotes
leadsvinsolutions_leadsid PK · custom fields → JSON columns
customersvinsolutions_customersid PK · linked to vinsolutions_leads
vehiclesvinsolutions_vehiclesid PK · linked to vinsolutions_leads
dealsvinsolutions_dealsid PK · linked to vinsolutions_leads

FAQ

How does Datrise handle VinSolutions'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 VinSolutions 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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