DatriseAI-first ETL

Mailjet SMS to Apache Superset Integration

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

How Datrise loads Mailjet SMS into Apache Superset

Datrise syncs Mailjet SMS's SMS messages, recipients, delivery statuses, senders, campaigns, and costs into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Mailjet SMS: SMS delivery and message status tracking.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Mailjet SMS entities map to Apache Superset

Mailjet SMS entityApache Superset objectNotes
SMS messagesmailjet_sms_sms_messagesid PK · custom fields → flattened columns for the explore UI
recipientsmailjet_sms_recipientsid PK · linked to mailjet_sms_sms_messages
delivery statusesmailjet_sms_delivery_statusestemporal columns for time-series charts events
sendersmailjet_sms_sendersid PK · linked to mailjet_sms_sms_messages

FAQ

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

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

How does the Mailjet SMS to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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