DatriseAI-first ETL

Wise Agent to ThoughtSpot Integration

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

How Datrise loads Wise Agent into ThoughtSpot

Datrise syncs Wise Agent's contacts, transactions, listings, commissions, referrals, and checklists 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

Wise Agent: Real estate CRM for transactions, commissions, and referrals.

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

How Wise Agent entities map to ThoughtSpot

Wise Agent entityThoughtSpot objectNotes
contactswise_agent_contactsid PK · custom fields → flattened columns for searchable fields
transactionswise_agent_transactionsid PK · linked to wise_agent_contacts
listingswise_agent_listingsid PK · linked to wise_agent_contacts
commissionswise_agent_commissionsid PK · linked to wise_agent_contacts

FAQ

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

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

Related pipelines

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