DatriseAI-first ETL

Adobe Commerce (Magento) Azure Synapse

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

How Datrise loads Adobe Commerce (Magento) into Azure Synapse

Datrise syncs Adobe Commerce (Magento)'s orders, products, customers, carts, and store views into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Adobe Commerce (Magento) entities map to Azure Synapse

Adobe Commerce (Magento) entityAzure Synapse objectNotes
ordersmagento_ordersid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

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

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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