DatriseAI-first ETL

Salesforce Marketing Cloud Domo

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

How Datrise loads Salesforce Marketing Cloud into Domo

Datrise syncs Salesforce Marketing Cloud's records, events, and configuration objects into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Salesforce Marketing Cloud: SaaS or API data source for analytics and warehouse sync.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Salesforce Marketing Cloud entities map to Domo

Salesforce Marketing Cloud entityDomo objectNotes
recordssalesforce_marketing_cloud_recordsid PK · custom fields → flattened columns for Magic ETL
eventssalesforce_marketing_cloud_eventsdate/time columns events
configuration objectssalesforce_marketing_cloud_configuration_objectsid PK · linked to salesforce_marketing_cloud_records

FAQ

How does Datrise handle Salesforce Marketing Cloud's custom fields in Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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