DatriseAI-first ETL

Salesforce Pardot Domo

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

How Datrise loads Salesforce Pardot into Domo

Datrise syncs Salesforce Pardot's contacts, accounts, deals, activities, and lifecycle events 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 Pardot: Marketing automation platform with CRM and lifecycle engagement.

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

How Salesforce Pardot entities map to Domo

Salesforce Pardot entityDomo objectNotes
contactssalesforce_pardot_contactsid PK · custom fields → flattened columns for Magic ETL
accountssalesforce_pardot_accountsid PK · linked to salesforce_pardot_contacts
dealssalesforce_pardot_dealsid PK · linked to salesforce_pardot_contacts
activitiessalesforce_pardot_activitiesdate/time columns events

FAQ

How does Datrise handle Salesforce Pardot'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 Pardot 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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