DatriseAI-first ETL

Salesforce Pardot to Redash Integration

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 prospects, campaigns, list emails, forms, lead scores, and engagement history 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: B2B marketing automation scoring and nurturing leads.

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

How Salesforce Pardot entities map to Redash

Salesforce Pardot entityRedash objectNotes
prospectssalesforce_pardot_prospectsid PK · custom fields → flattened columns for query results
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 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

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