Lofty to Spotfire Integration

How Datrise loads Lofty into Spotfire

Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

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

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Lofty entities map to Spotfire

Lofty entity	Spotfire object	Notes
leads	`lofty_leads`	id PK · custom fields → flattened columns for visualizations
contacts	`lofty_contacts`	id PK · linked to lofty_leads
listings	`lofty_listings`	id PK · linked to lofty_leads
property searches	`lofty_property_searches`	id PK · linked to lofty_leads

FAQ

How does Datrise handle Lofty's custom fields in Spotfire?

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

How does the Lofty to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

Early access

Connect Lofty to Spotfire the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.