DatriseAI-first ETL

Adobe Commerce (Magento) Birst

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

How Datrise loads Adobe Commerce (Magento) into Birst

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

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

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Adobe Commerce (Magento) entities map to Birst

Adobe Commerce (Magento) entityBirst 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 Birst?

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 Birst types.

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

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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