DatriseAI-first ETL

Autopilot to Azure Synapse Integration

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

How Datrise loads Autopilot into Azure Synapse

Datrise syncs Autopilot's contacts, journeys, lists, email events, triggers, and custom fields 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

Autopilot: Visual marketing automation and customer journeys.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Autopilot entities map to Azure Synapse

Autopilot entityAzure Synapse objectNotes
contactsautopilot_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
journeysautopilot_journeysid PK · linked to autopilot_contacts
listsautopilot_listsid PK · linked to autopilot_contacts
email eventsautopilot_email_eventsdatetime2 events

FAQ

How does Datrise handle Autopilot'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 Autopilot 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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