DatriseAI-first ETL

Housecall Pro to Yellowfin Integration

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

How Datrise loads Housecall Pro into Yellowfin

Datrise syncs Housecall Pro's jobs, customers, estimates, invoices, technicians, and service schedules into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

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

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Housecall Pro entities map to Yellowfin

Housecall Pro entityYellowfin objectNotes
jobshousecall_pro_jobsid PK · custom fields → flattened 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 Yellowfin?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Housecall Pro to Yellowfin the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.