DatriseAI-first ETL

Cart to Microsoft SQL Server Integration

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

How Datrise loads Cart into Microsoft SQL Server

Datrise syncs Cart's orders, products, customers, shipments, payments, and discounts 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

Cart: Ecommerce storefront and order management.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Cart entities map to Microsoft SQL Server

Cart entityMicrosoft SQL Server objectNotes
orderscart_ordersid PK · custom fields → NVARCHAR(MAX) JSON columns
productscart_productsid PK · linked to cart_orders
customerscart_customersid PK · linked to cart_orders
shipmentscart_shipmentsid PK · linked to cart_orders

FAQ

How does Datrise handle Cart'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 Cart 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

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