DatriseAI-first ETL

QuickBooks Azure Synapse

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

How Datrise loads QuickBooks into Azure Synapse

Datrise syncs QuickBooks's customers, invoices, bills, payments, and chart-of-accounts entries 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

QuickBooks: SMB accounting for invoices, expenses, and ledger activity.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How QuickBooks entities map to Azure Synapse

QuickBooks entityAzure Synapse objectNotes
customersquickbooks_customersid PK · custom fields → NVARCHAR(MAX) JSON columns
invoicesquickbooks_invoicesid PK · linked to quickbooks_customers
billsquickbooks_billsid PK · linked to quickbooks_customers
paymentsquickbooks_paymentsid PK · linked to quickbooks_customers

FAQ

How does Datrise handle QuickBooks'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 QuickBooks 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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