DatriseAI-first ETL

Adobe Commerce (Magento) Metabase

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

How Datrise loads Adobe Commerce (Magento) into Metabase

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

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

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Adobe Commerce (Magento) entities map to Metabase

Adobe Commerce (Magento) entityMetabase objectNotes
ordersmagento_ordersid PK · custom fields → flattened columns for the question builder
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 Metabase?

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

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

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

Related pipelines

Early access

Connect Adobe Commerce (Magento) to Metabase the easy way

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