DatriseAI-first ETL

Salesforce Marketing Cloud to Birst Integration

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

How Datrise loads Salesforce Marketing Cloud into Birst

Datrise syncs Salesforce Marketing Cloud's subscribers, data extensions, journeys, sends, email events, and lists into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Salesforce Marketing Cloud: Enterprise email, journeys, and cross-channel messaging.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Salesforce Marketing Cloud entities map to Birst

Salesforce Marketing Cloud entityBirst objectNotes
subscriberssalesforce_marketing_cloud_subscribersid PK · custom fields → flattened 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 Birst?

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

How does the Salesforce Marketing Cloud to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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