DatriseAI-first ETL

Salesforce Commerce Cloud to ClickHouse Integration

AI-first ETL from Salesforce Commerce Cloud into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Commerce Cloud into ClickHouse

Datrise syncs Salesforce Commerce Cloud's orders, products, customers, baskets, promotions, and inventory records into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

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

ClickHouse: Columnar OLAP engine for fast aggregations.

How Salesforce Commerce Cloud entities map to ClickHouse

Salesforce Commerce Cloud entityClickHouse objectNotes
orderssalesforce_commerce_cloud_ordersid PK · custom fields → JSON or Map columns
productssalesforce_commerce_cloud_productsid PK · linked to salesforce_commerce_cloud_orders
customerssalesforce_commerce_cloud_customersid PK · linked to salesforce_commerce_cloud_orders
basketssalesforce_commerce_cloud_basketsid PK · linked to salesforce_commerce_cloud_orders

FAQ

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

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

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

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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