DatriseAI-first ETL

Salesforce Marketing Cloud Neon

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

How Datrise loads Salesforce Marketing Cloud into Neon

Datrise syncs Salesforce Marketing Cloud's records, events, and configuration objects 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 Marketing Cloud: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Salesforce Marketing Cloud entities map to Neon

Salesforce Marketing Cloud entityNeon objectNotes
recordssalesforce_marketing_cloud_recordsid PK · custom fields → jsonb columns
eventssalesforce_marketing_cloud_eventstimestamptz events
configuration objectssalesforce_marketing_cloud_configuration_objectsid PK · linked to salesforce_marketing_cloud_records

FAQ

How does Datrise handle Salesforce Marketing Cloud'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 Marketing Cloud 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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