DatriseAI-first ETL

PrestaShop to Databricks SQL Warehouse Integration

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

How Datrise loads PrestaShop into Databricks SQL Warehouse

Datrise syncs PrestaShop's orders, products, customers, carts, categories, and order states into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

PrestaShop: Open-source ecommerce storefront and catalog.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How PrestaShop entities map to Databricks SQL Warehouse

PrestaShop entityDatabricks SQL Warehouse objectNotes
ordersprestashop_ordersid PK · custom fields → VARIANT or STRUCT 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 Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the PrestaShop to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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