DatriseAI-first ETL

Mailchimp PostgreSQL

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

How Datrise loads Mailchimp into PostgreSQL

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

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Mailchimp: Email marketing platform with audiences and campaign analytics.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Mailchimp entities map to PostgreSQL

Mailchimp entityPostgreSQL objectNotes
audiencesmailchimp_audiencesid PK · custom fields → jsonb 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 PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

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Early access

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