DatriseAI-first ETL

kvCORE ThoughtSpot

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

How Datrise loads kvCORE into ThoughtSpot

Datrise syncs kvCORE'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

kvCORE: Real estate CRM for leads, listings, and agent follow-up.

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

How kvCORE entities map to ThoughtSpot

kvCORE entityThoughtSpot objectNotes
contactskvcore_contactsid PK · custom fields → flattened columns for searchable fields
accountskvcore_accountsid PK · linked to kvcore_contacts
dealskvcore_dealsid PK · linked to kvcore_contacts
activitieskvcore_activitiesdate/time columns events

FAQ

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

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

Related pipelines

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