DatriseAI-first ETL

Campaign Monitor to Redash Integration

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

How Datrise loads Campaign Monitor into Redash

Datrise syncs Campaign Monitor's subscribers, campaigns, lists, segments, email events, and automations into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Campaign Monitor: Email campaign delivery and subscriber management.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Campaign Monitor entities map to Redash

Campaign Monitor entityRedash objectNotes
subscriberscampaign_monitor_subscribersid PK · custom fields → flattened columns for query results
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 Redash?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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