DatriseAI-first ETL

Real Geeks ThoughtSpot

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 contacts, accounts, deals, activities, and lifecycle events 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 CRM for leads, listings, and agent follow-up.

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

How Real Geeks entities map to ThoughtSpot

Real Geeks entityThoughtSpot objectNotes
contactsreal_geeks_contactsid PK · custom fields → flattened columns for searchable fields
accountsreal_geeks_accountsid PK · linked to real_geeks_contacts
dealsreal_geeks_dealsid PK · linked to real_geeks_contacts
activitiesreal_geeks_activitiesdate/time columns events

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

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