Salesforce Commerce Cloud to DuckDB Integration

How Datrise loads Salesforce Commerce Cloud into DuckDB

Datrise syncs Salesforce Commerce Cloud's orders, products, customers, baskets, promotions, and inventory records into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

Salesforce Commerce Cloud: Salesforce storefront, catalog, and order management.

DuckDB: In-process analytics database for fast local OLAP.

How Salesforce Commerce Cloud entities map to DuckDB

Salesforce Commerce Cloud entity	DuckDB object	Notes
orders	`salesforce_commerce_cloud_orders`	id PK · custom fields → JSON or STRUCT columns
products	`salesforce_commerce_cloud_products`	id PK · linked to salesforce_commerce_cloud_orders
customers	`salesforce_commerce_cloud_customers`	id PK · linked to salesforce_commerce_cloud_orders
baskets	`salesforce_commerce_cloud_baskets`	id PK · linked to salesforce_commerce_cloud_orders

FAQ

How does Datrise handle Salesforce Commerce Cloud's custom fields in DuckDB?

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

How does the Salesforce Commerce Cloud to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

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