DatriseAI-first ETL

Campaign Monitor to Amazon Athena Integration

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

How Datrise loads Campaign Monitor into Amazon Athena

Datrise syncs Campaign Monitor's subscribers, campaigns, lists, segments, email events, and automations into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.

Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.

Ideal for serverless SQL over an S3 lake without a running warehouse.

Endpoints

Campaign Monitor: Email campaign delivery and subscriber management.

Amazon Athena: Serverless SQL over S3 data lake tables.

How Campaign Monitor entities map to Amazon Athena

Campaign Monitor entityAmazon Athena objectNotes
subscriberscampaign_monitor_subscribersid PK · custom fields → struct/map columns in Parquet
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 Amazon Athena?

Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.

How does the Campaign Monitor to Amazon Athena sync stay up to date?

It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.

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Early access

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