DatriseAI-first ETL

Autopilot to MicroStrategy Integration

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

How Datrise loads Autopilot into MicroStrategy

Datrise syncs Autopilot's contacts, journeys, lists, email events, triggers, and custom fields into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Autopilot: Visual marketing automation and customer journeys.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Autopilot entities map to MicroStrategy

Autopilot entityMicroStrategy objectNotes
contactsautopilot_contactsid PK · custom fields → flattened columns
journeysautopilot_journeysid PK · linked to autopilot_contacts
listsautopilot_listsid PK · linked to autopilot_contacts
email eventsautopilot_email_eventsdate/time dimensions events

FAQ

How does Datrise handle Autopilot's custom fields in MicroStrategy?

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

How does the Autopilot to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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