DatriseAI-first ETL

Housecall Pro to Amazon QuickSight Integration

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

How Datrise loads Housecall Pro into Amazon QuickSight

Datrise syncs Housecall Pro's jobs, customers, estimates, invoices, technicians, and service schedules into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

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

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Housecall Pro entities map to Amazon QuickSight

Housecall Pro entityAmazon QuickSight objectNotes
jobshousecall_pro_jobsid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

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

How does the Housecall Pro to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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