DatriseAI-first ETL

Mailchimp ClickHouse

AI-first ETL from Mailchimp into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mailchimp into ClickHouse

Datrise syncs Mailchimp's audiences, campaigns, automations, subscribers, and engagement metrics into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Mailchimp: Email marketing platform with audiences and campaign analytics.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Mailchimp entities map to ClickHouse

Mailchimp entityClickHouse objectNotes
audiencesmailchimp_audiencesid PK · custom fields → JSON or Map columns
campaignsmailchimp_campaignsid PK · linked to mailchimp_audiences
automationsmailchimp_automationsid PK · linked to mailchimp_audiences
subscribersmailchimp_subscribersid PK · linked to mailchimp_audiences

FAQ

How does Datrise handle Mailchimp's custom fields in ClickHouse?

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

How does the Mailchimp to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

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