DatriseAI-first ETL

Salesforce Pardot to Apache Superset Integration

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

How Datrise loads Salesforce Pardot into Apache Superset

Datrise syncs Salesforce Pardot's prospects, campaigns, list emails, forms, lead scores, and engagement history into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Salesforce Pardot: B2B marketing automation scoring and nurturing leads.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Salesforce Pardot entities map to Apache Superset

Salesforce Pardot entityApache Superset objectNotes
prospectssalesforce_pardot_prospectsid PK · custom fields → flattened columns for the explore UI
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 Apache Superset?

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

How does the Salesforce Pardot to Apache Superset sync stay up to date?

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

Related pipelines

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