DatriseAI-first ETL

Housecall Pro to PostgreSQL Integration

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

How Datrise loads Housecall Pro into PostgreSQL

Datrise syncs Housecall Pro's jobs, customers, estimates, invoices, technicians, and service schedules into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Housecall Pro entities map to PostgreSQL

Housecall Pro entityPostgreSQL objectNotes
jobshousecall_pro_jobsid PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Housecall Pro to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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