DatriseAI-first ETL

Salesforce Pardot Metabase

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 contacts, accounts, deals, activities, and lifecycle events 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: Marketing automation platform with CRM and lifecycle engagement.

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

How Salesforce Pardot entities map to Metabase

Salesforce Pardot entityMetabase objectNotes
contactssalesforce_pardot_contactsid PK · custom fields → flattened columns for the question builder
accountssalesforce_pardot_accountsid PK · linked to salesforce_pardot_contacts
dealssalesforce_pardot_dealsid PK · linked to salesforce_pardot_contacts
activitiessalesforce_pardot_activitiestemporal columns for trends events

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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