DatriseAI-first ETL

Lofty to MicroStrategy Integration

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

How Datrise loads Lofty into MicroStrategy

Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests 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

Lofty: Real estate CRM with IDX search and AI lead nurture.

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

How Lofty entities map to MicroStrategy

Lofty entityMicroStrategy objectNotes
leadslofty_leadsid PK · custom fields → flattened columns
contactslofty_contactsid PK · linked to lofty_leads
listingslofty_listingsid PK · linked to lofty_leads
property searcheslofty_property_searchesid PK · linked to lofty_leads

FAQ

How does Datrise handle Lofty'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 Lofty 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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