DatriseAI-first ETL

Propertybase to ThoughtSpot Integration

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

How Datrise loads Propertybase into ThoughtSpot

Datrise syncs Propertybase's leads, contacts, listings, opportunities, showings, and brokerage offices 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

Propertybase: Salesforce-based real estate CRM for brokerages.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Propertybase entities map to ThoughtSpot

Propertybase entityThoughtSpot objectNotes
leadspropertybase_leadsid PK · custom fields → flattened columns for searchable fields
contactspropertybase_contactsid PK · linked to propertybase_leads
listingspropertybase_listingsid PK · linked to propertybase_leads
opportunitiespropertybase_opportunitiesid PK · linked to propertybase_leads

FAQ

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

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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