DatriseAI-first ETL

Adobe Commerce (Magento) Amazon QuickSight

AI-first ETL from Adobe Commerce (Magento) into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.

How Datrise loads Adobe Commerce (Magento) into Amazon QuickSight

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Adobe Commerce (Magento): Enterprise e-commerce catalog, orders, and customer data.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Adobe Commerce (Magento) entities map to Amazon QuickSight

Adobe Commerce (Magento) entityAmazon QuickSight objectNotes
ordersmagento_ordersid PK · custom fields → flattened columns for analyses
productsmagento_productsid PK · linked to magento_orders
customersmagento_customersid PK · linked to magento_orders
cartsmagento_cartsid PK · linked to magento_orders

FAQ

How does Datrise handle Adobe Commerce (Magento)'s custom fields in Amazon QuickSight?

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

How does the Adobe Commerce (Magento) to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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