DatriseAI-first ETL

Housecall Pro to PlanetScale Integration

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

How Datrise loads Housecall Pro into PlanetScale

Datrise syncs Housecall Pro's jobs, customers, estimates, invoices, technicians, and service schedules 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

Housecall Pro: Home service scheduling, dispatch, and invoicing.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Housecall Pro entities map to PlanetScale

Housecall Pro entityPlanetScale objectNotes
jobshousecall_pro_jobsid PK · custom fields → JSON columns
customershousecall_pro_customersid PK · linked to housecall_pro_jobs
estimateshousecall_pro_estimatesid PK · linked to housecall_pro_jobs
invoiceshousecall_pro_invoicesid PK · linked to housecall_pro_jobs

FAQ

How does Datrise handle Housecall Pro'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 Housecall Pro 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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