DatriseAI-first ETL

Mautic to Apache Superset Integration

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

How Datrise loads Mautic into Apache Superset

Datrise syncs Mautic's contacts, segments, campaigns, forms, page hits, and email stats 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

Mautic: Open-source marketing automation with contact tracking.

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

How Mautic entities map to Apache Superset

Mautic entityApache Superset objectNotes
contactsmautic_contactsid PK · custom fields → flattened columns for the explore UI
segmentsmautic_segmentsid PK · linked to mautic_contacts
campaignsmautic_campaignsid PK · linked to mautic_contacts
formsmautic_formsid PK · linked to mautic_contacts

FAQ

How does Datrise handle Mautic'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 Mautic to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect Mautic to Apache Superset the easy way

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