DatriseAI-first ETL

Mailchimp Yellowfin

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

How Datrise loads Mailchimp into Yellowfin

Datrise syncs Mailchimp's audiences, campaigns, automations, subscribers, and engagement metrics into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Mailchimp: Email marketing platform with audiences and campaign analytics.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Mailchimp entities map to Yellowfin

Mailchimp entityYellowfin objectNotes
audiencesmailchimp_audiencesid PK · custom fields → flattened 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 Yellowfin?

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

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

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

Related pipelines

Early access

Connect Mailchimp to Yellowfin 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.