Adobe Commerce (Magento) → PostgreSQL

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

How Datrise loads Adobe Commerce (Magento) into PostgreSQL

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Adobe Commerce (Magento) entities map to PostgreSQL

Adobe Commerce (Magento) entity	PostgreSQL object	Notes
orders	`magento_orders`	id PK · custom fields → jsonb columns
products	`magento_products`	id PK · linked to magento_orders
customers	`magento_customers`	id PK · linked to magento_orders
carts	`magento_carts`	id PK · linked to magento_orders

FAQ

How does Datrise handle Adobe Commerce (Magento)'s custom fields in PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

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Connect Adobe Commerce (Magento) to PostgreSQL the easy way

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