DatriseAI-first ETL

Autopilot to Microsoft SQL Server Integration

AI-first ETL from Autopilot into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads Autopilot into Microsoft SQL Server

Datrise syncs Autopilot's contacts, journeys, lists, email events, triggers, and custom fields into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Autopilot: Visual marketing automation and customer journeys.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Autopilot entities map to Microsoft SQL Server

Autopilot entityMicrosoft SQL Server 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 Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the Autopilot to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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