DatriseAI-first ETL

Real Geeks to ThoughtSpot Integration

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

How Datrise loads Real Geeks into ThoughtSpot

Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups 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

Real Geeks: Real estate lead generation sites with an integrated CRM.

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

How Real Geeks entities map to ThoughtSpot

Real Geeks entityThoughtSpot objectNotes
leadsreal_geeks_leadsid PK · custom fields → flattened columns for searchable fields
contactsreal_geeks_contactsid PK · linked to real_geeks_leads
listingsreal_geeks_listingsid PK · linked to real_geeks_leads
saved searchesreal_geeks_saved_searchesid PK · linked to real_geeks_leads

FAQ

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

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

Related pipelines

Early access

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