DatriseAI-first ETL

Adobe Commerce (Magento) Neon

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

How Datrise loads Adobe Commerce (Magento) into Neon

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

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

Neon: Serverless Postgres destination with branching and autoscaling.

How Adobe Commerce (Magento) entities map to Neon

Adobe Commerce (Magento) entityNeon objectNotes
ordersmagento_ordersid PK · custom fields → jsonb 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 Neon?

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 Neon types.

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

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

Related pipelines

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