DatriseAI-first ETL

Salesforce Marketing Cloud to Azure Synapse Integration

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

How Datrise loads Salesforce Marketing Cloud into Azure Synapse

Datrise syncs Salesforce Marketing Cloud's subscribers, data extensions, journeys, sends, email events, and lists 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 Marketing Cloud: Enterprise email, journeys, and cross-channel messaging.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Salesforce Marketing Cloud entities map to Azure Synapse

Salesforce Marketing Cloud entityAzure Synapse objectNotes
subscriberssalesforce_marketing_cloud_subscribersid PK · custom fields → NVARCHAR(MAX) JSON columns
data extensionssalesforce_marketing_cloud_data_extensionsid PK · linked to salesforce_marketing_cloud_subscribers
journeyssalesforce_marketing_cloud_journeysid PK · linked to salesforce_marketing_cloud_subscribers
sendssalesforce_marketing_cloud_sendsid PK · linked to salesforce_marketing_cloud_subscribers

FAQ

How does Datrise handle Salesforce Marketing 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 Marketing 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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