DatriseAI-first ETL

Salesforce Commerce Cloud Azure Synapse

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

How Datrise loads Salesforce Commerce Cloud into Azure Synapse

Datrise syncs Salesforce Commerce Cloud's contacts, accounts, deals, activities, and lifecycle events 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

Salesforce Commerce Cloud: Enterprise CRM for complex sales, service, and revenue operations.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Salesforce Commerce Cloud entities map to Azure Synapse

Salesforce Commerce Cloud entityAzure Synapse objectNotes
contactssalesforce_commerce_cloud_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountssalesforce_commerce_cloud_accountsid PK · linked to salesforce_commerce_cloud_contacts
dealssalesforce_commerce_cloud_dealsid PK · linked to salesforce_commerce_cloud_contacts
activitiessalesforce_commerce_cloud_activitiesdatetime2 events

FAQ

How does Datrise handle Salesforce Commerce Cloud'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 Salesforce Commerce Cloud 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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