DatriseAI-first ETL

Campaign Monitor to DuckDB Integration

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

How Datrise loads Campaign Monitor into DuckDB

Datrise syncs Campaign Monitor's subscribers, campaigns, lists, segments, email events, and automations into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

Campaign Monitor: Email campaign delivery and subscriber management.

DuckDB: In-process analytics database for fast local OLAP.

How Campaign Monitor entities map to DuckDB

Campaign Monitor entityDuckDB objectNotes
subscriberscampaign_monitor_subscribersid PK · custom fields → JSON or STRUCT columns
campaignscampaign_monitor_campaignsid PK · linked to campaign_monitor_subscribers
listscampaign_monitor_listsid PK · linked to campaign_monitor_subscribers
segmentscampaign_monitor_segmentsid PK · linked to campaign_monitor_subscribers

FAQ

How does Datrise handle Campaign Monitor's custom fields in DuckDB?

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

How does the Campaign Monitor to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

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