DatriseAI-first ETL

Campaign Monitor Neon

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

How Datrise loads Campaign Monitor into Neon

Datrise syncs Campaign Monitor'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

Campaign Monitor: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Campaign Monitor entities map to Neon

Campaign Monitor entityNeon objectNotes
recordscampaign_monitor_recordsid PK · custom fields → jsonb columns
eventscampaign_monitor_eventstimestamptz events
configuration objectscampaign_monitor_configuration_objectsid PK · linked to campaign_monitor_records

FAQ

How does Datrise handle Campaign Monitor'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 Campaign Monitor 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

Early access

Connect Campaign Monitor to Neon the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.