Campaign Monitor to PostgreSQL Integration
AI-first ETL from Campaign Monitor into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Campaign Monitor into PostgreSQL
Datrise syncs Campaign Monitor's subscribers, campaigns, lists, segments, email events, and automations into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Campaign Monitor: Email campaign delivery and subscriber management.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Campaign Monitor entities map to PostgreSQL
| Campaign Monitor entity | PostgreSQL object | Notes |
|---|---|---|
| subscribers | campaign_monitor_subscribers | id PK · custom fields → jsonb columns |
| campaigns | campaign_monitor_campaigns | id PK · linked to campaign_monitor_subscribers |
| lists | campaign_monitor_lists | id PK · linked to campaign_monitor_subscribers |
| segments | campaign_monitor_segments | id PK · linked to campaign_monitor_subscribers |
FAQ
How does Datrise handle Campaign Monitor's custom fields in PostgreSQL?
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 PostgreSQL types.
How does the Campaign Monitor to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Campaign Monitor
- Campaign Monitor → MySQL
- Campaign Monitor → Microsoft SQL Server
- Campaign Monitor → Oracle Database
- Campaign Monitor → Snowflake
- Campaign Monitor → Google BigQuery
- Campaign Monitor → Amazon Redshift
- Campaign Monitor → Databricks SQL Warehouse
- Campaign Monitor → ClickHouse
- Campaign Monitor → DuckDB
- Campaign Monitor → Amazon Athena
- Campaign Monitor → Amazon S3 Data Lake
- Campaign Monitor → Azure Data Lake Storage
Early access
Connect Campaign Monitor to PostgreSQL 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.