Lofty to ThoughtSpot Integration
AI-first ETL from Lofty into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Lofty into ThoughtSpot
Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Lofty: Real estate CRM with IDX search and AI lead nurture.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Lofty entities map to ThoughtSpot
| Lofty entity | ThoughtSpot object | Notes |
|---|---|---|
| leads | lofty_leads | id PK · custom fields → flattened columns for searchable fields |
| 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 ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Lofty to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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