DatriseAI-first ETL

Housecall Pro to Microsoft SQL Server Integration

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

How Datrise loads Housecall Pro into Microsoft SQL Server

Datrise syncs Housecall Pro's jobs, customers, estimates, invoices, technicians, and service schedules into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

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

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Housecall Pro entities map to Microsoft SQL Server

Housecall Pro entityMicrosoft SQL Server objectNotes
jobshousecall_pro_jobsid PK · custom fields → NVARCHAR(MAX) 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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Housecall Pro to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

Early access

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