DatriseAI-first ETL

WooCommerce to Microsoft SQL Server Integration

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

How Datrise loads WooCommerce into Microsoft SQL Server

Datrise syncs WooCommerce's orders, products, customers, coupons, refunds, and order line items 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

WooCommerce: WordPress ecommerce storefront and order data.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How WooCommerce entities map to Microsoft SQL Server

WooCommerce entityMicrosoft SQL Server objectNotes
orderswoocommerce_ordersid PK · custom fields → NVARCHAR(MAX) JSON columns
productswoocommerce_productsid PK · linked to woocommerce_orders
customerswoocommerce_customersid PK · linked to woocommerce_orders
couponswoocommerce_couponsid PK · linked to woocommerce_orders

FAQ

How does Datrise handle WooCommerce'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 WooCommerce 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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