DatriseAI-first ETL

Salesforce Marketing Cloud to Spotfire Integration

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

How Datrise loads Salesforce Marketing Cloud into Spotfire

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

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

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

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Salesforce Marketing Cloud entities map to Spotfire

Salesforce Marketing Cloud entitySpotfire objectNotes
subscriberssalesforce_marketing_cloud_subscribersid PK · custom fields → flattened columns for visualizations
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 Spotfire?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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