DatriseAI-first ETL

DealerSocket to PlanetScale Integration

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

How Datrise loads DealerSocket into PlanetScale

Datrise syncs DealerSocket's leads, customers, vehicles, deals, showroom visits, and trade-ins 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

DealerSocket: Automotive dealer CRM for showroom and desking workflows.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How DealerSocket entities map to PlanetScale

DealerSocket entityPlanetScale objectNotes
leadsdealersocket_leadsid PK · custom fields → JSON columns
customersdealersocket_customersid PK · linked to dealersocket_leads
vehiclesdealersocket_vehiclesid PK · linked to dealersocket_leads
dealsdealersocket_dealsid PK · linked to dealersocket_leads

FAQ

How does Datrise handle DealerSocket'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 DealerSocket 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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