DatriseAI-first ETL

Housecall Pro to Azure Synapse Integration

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

How Datrise loads Housecall Pro into Azure Synapse

Datrise syncs Housecall Pro's jobs, customers, estimates, invoices, technicians, and service schedules into Azure Synapse 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 COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Housecall Pro entities map to Azure Synapse

Housecall Pro entityAzure Synapse 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 Azure Synapse?

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 Azure Synapse types.

How does the Housecall Pro to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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