DatriseAI-first ETL

Salesforce Pardot Redash

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

How Datrise loads Salesforce Pardot into Redash

Datrise syncs Salesforce Pardot's contacts, accounts, deals, activities, and lifecycle events into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Salesforce Pardot: Marketing automation platform with CRM and lifecycle engagement.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Salesforce Pardot entities map to Redash

Salesforce Pardot entityRedash objectNotes
contactssalesforce_pardot_contactsid PK · custom fields → flattened columns for query results
accountssalesforce_pardot_accountsid PK · linked to salesforce_pardot_contacts
dealssalesforce_pardot_dealsid PK · linked to salesforce_pardot_contacts
activitiessalesforce_pardot_activitiestemporal columns events

FAQ

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

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

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

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

Related pipelines

Early access

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