DatriseAI-first ETL

Adobe Commerce (Magento) GoodData

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

How Datrise loads Adobe Commerce (Magento) into GoodData

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Adobe Commerce (Magento) entities map to GoodData

Adobe Commerce (Magento) entityGoodData objectNotes
ordersmagento_ordersid PK · custom fields → flattened columns
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 GoodData?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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