DatriseAI-first ETL

Adobe Commerce (Magento) Redash

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

How Datrise loads Adobe Commerce (Magento) into Redash

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Adobe Commerce (Magento) entities map to Redash

Adobe Commerce (Magento) entityRedash objectNotes
ordersmagento_ordersid PK · custom fields → flattened columns for query results
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 Redash?

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

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

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

Related pipelines

Early access

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