DatriseAI-first ETL

Salesforce Pardot to Tableau Integration

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

How Datrise loads Salesforce Pardot into Tableau

Datrise syncs Salesforce Pardot's prospects, campaigns, list emails, forms, lead scores, and engagement history into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

Salesforce Pardot: B2B marketing automation scoring and nurturing leads.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Salesforce Pardot entities map to Tableau

Salesforce Pardot entityTableau objectNotes
prospectssalesforce_pardot_prospectsid PK · custom fields → flattened columns for Tableau fields
campaignssalesforce_pardot_campaignsid PK · linked to salesforce_pardot_prospects
list emailssalesforce_pardot_list_emailsid PK · linked to salesforce_pardot_prospects
formssalesforce_pardot_formsid PK · linked to salesforce_pardot_prospects

FAQ

How does Datrise handle Salesforce Pardot's custom fields in Tableau?

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

How does the Salesforce Pardot to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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