DatriseAI-first ETL

Salesforce Pardot to Neon Integration

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

How Datrise loads Salesforce Pardot into Neon

Datrise syncs Salesforce Pardot's prospects, campaigns, list emails, forms, lead scores, and engagement history into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Salesforce Pardot: B2B marketing automation scoring and nurturing leads.

Neon: Serverless Postgres destination with branching and autoscaling.

How Salesforce Pardot entities map to Neon

Salesforce Pardot entityNeon objectNotes
prospectssalesforce_pardot_prospectsid PK · custom fields → jsonb columns
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 Neon?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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