DatriseAI-first ETL

Salesforce Marketing Cloud to GoodData Integration

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

How Datrise loads Salesforce Marketing Cloud into GoodData

Datrise syncs Salesforce Marketing Cloud's subscribers, data extensions, journeys, sends, email events, and lists into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Salesforce Marketing Cloud entities map to GoodData

Salesforce Marketing Cloud entityGoodData 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 GoodData?

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 GoodData types.

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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