Pardot → Mode
AI-first ETL from Pardot into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pardot into Mode
Datrise syncs Pardot's prospects, campaigns, emails, forms, and engagement grades into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Pardot: B2B marketing automation on the Salesforce platform.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Pardot entities map to Mode
| Pardot entity | Mode object | Notes |
|---|---|---|
| prospects | pardot_prospects | id PK · custom fields → flattened columns for SQL and notebooks |
| campaigns | pardot_campaigns | id PK · linked to pardot_prospects |
| emails | pardot_emails | id PK · linked to pardot_prospects |
| forms | pardot_forms | id PK · linked to pardot_prospects |
FAQ
How does Datrise handle Pardot's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Pardot to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Pardot
Early access
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