DatriseAI-first ETL

PrestaShop to Sisense Integration

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

How Datrise loads PrestaShop into Sisense

Datrise syncs PrestaShop's orders, products, customers, carts, categories, and order states into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.

Ideal for embedded analytics on an in-memory engine.

Endpoints

PrestaShop: Open-source ecommerce storefront and catalog.

Sisense: Analytics platform with elastic data models and embedded analytics.

How PrestaShop entities map to Sisense

PrestaShop entitySisense objectNotes
ordersprestashop_ordersid PK · custom fields → flattened columns for the cube
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 Sisense?

Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.

How does the PrestaShop to Sisense sync stay up to date?

It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.

Related pipelines

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