DatriseAI-first ETL

Mautic to Azure Synapse Integration

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

How Datrise loads Mautic into Azure Synapse

Datrise syncs Mautic's contacts, segments, campaigns, forms, page hits, and email stats into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Mautic: Open-source marketing automation with contact tracking.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Mautic entities map to Azure Synapse

Mautic entityAzure Synapse objectNotes
contactsmautic_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Mautic to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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