DatriseAI-first ETL

Adobe Commerce (Magento) CSV Files

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

How Datrise loads Adobe Commerce (Magento) into CSV Files

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

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

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Adobe Commerce (Magento) entities map to CSV Files

Adobe Commerce (Magento) entityCSV Files objectNotes
ordersmagento_ordersid PK · custom fields → JSON-encoded strings for nested fields
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 CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

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

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

Early access

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