DatriseAI-first ETL

Salesforce Pardot to Metabase Integration

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

How Datrise loads Salesforce Pardot into Metabase

Datrise syncs Salesforce Pardot's prospects, campaigns, list emails, forms, lead scores, and engagement history into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Salesforce Pardot: B2B marketing automation scoring and nurturing leads.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Salesforce Pardot entities map to Metabase

Salesforce Pardot entityMetabase objectNotes
prospectssalesforce_pardot_prospectsid PK · custom fields → flattened columns for the question builder
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 Metabase?

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

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

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

Related pipelines

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