DatriseAI-first ETL

Mautic to Holistics Integration

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

How Datrise loads Mautic into Holistics

Datrise syncs Mautic's contacts, segments, campaigns, forms, page hits, and email stats into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Mautic: Open-source marketing automation with contact tracking.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Mautic entities map to Holistics

Mautic entityHolistics objectNotes
contactsmautic_contactsid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

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

How does the Mautic to Holistics sync stay up to date?

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

Related pipelines

Early access

Connect Mautic to Holistics the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.