DatriseAI-first ETL

Propertybase MicroStrategy

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

How Datrise loads Propertybase into MicroStrategy

Datrise syncs Propertybase's contacts, accounts, deals, activities, and lifecycle events 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

Propertybase: Real estate CRM for leads, listings, and agent follow-up.

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

How Propertybase entities map to MicroStrategy

Propertybase entityMicroStrategy objectNotes
contactspropertybase_contactsid PK · custom fields → flattened columns
accountspropertybase_accountsid PK · linked to propertybase_contacts
dealspropertybase_dealsid PK · linked to propertybase_contacts
activitiespropertybase_activitiesdate/time dimensions events

FAQ

How does Datrise handle Propertybase'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 Propertybase to MicroStrategy sync stay up to date?

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

Related pipelines

Early access

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