DatriseAI-first ETL

Mailjet SMS to Tableau Integration

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

How Datrise loads Mailjet SMS into Tableau

Datrise syncs Mailjet SMS's SMS messages, recipients, delivery statuses, senders, campaigns, and costs into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

Mailjet SMS: SMS delivery and message status tracking.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Mailjet SMS entities map to Tableau

Mailjet SMS entityTableau objectNotes
SMS messagesmailjet_sms_sms_messagesid PK · custom fields → flattened columns for Tableau fields
recipientsmailjet_sms_recipientsid PK · linked to mailjet_sms_sms_messages
delivery statusesmailjet_sms_delivery_statusesdate/datetime fields events
sendersmailjet_sms_sendersid PK · linked to mailjet_sms_sms_messages

FAQ

How does Datrise handle Mailjet SMS's custom fields in Tableau?

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

How does the Mailjet SMS to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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