DatriseAI-first ETL

Mailjet to Birst Integration

AI-first ETL from Mailjet into Birst. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mailjet into Birst

Datrise syncs Mailjet's messages, contacts, campaigns, delivery events, lists, and templates into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Mailjet: Email delivery across transactional and marketing sends.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Mailjet entities map to Birst

Mailjet entityBirst objectNotes
messagesmailjet_messagesid PK · custom fields → flattened columns
contactsmailjet_contactsid PK · linked to mailjet_messages
campaignsmailjet_campaignsid PK · linked to mailjet_messages
delivery eventsmailjet_delivery_eventsdate/time dimensions events

FAQ

How does Datrise handle Mailjet's custom fields in Birst?

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 Birst types.

How does the Mailjet to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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