DatriseAI-first ETL

PrestaShop to Microsoft SQL Server Integration

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

How Datrise loads PrestaShop into Microsoft SQL Server

Datrise syncs PrestaShop's orders, products, customers, carts, categories, and order states 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

PrestaShop: Open-source ecommerce storefront and catalog.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How PrestaShop entities map to Microsoft SQL Server

PrestaShop entityMicrosoft SQL Server objectNotes
ordersprestashop_ordersid PK · custom fields → NVARCHAR(MAX) JSON columns
productsprestashop_productsid PK · linked to prestashop_orders
customersprestashop_customersid PK · linked to prestashop_orders
cartsprestashop_cartsid PK · linked to prestashop_orders

FAQ

How does Datrise handle PrestaShop'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 PrestaShop 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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