DatriseAI-first ETL

LionDesk to ThoughtSpot Integration

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

How Datrise loads LionDesk into ThoughtSpot

Datrise syncs LionDesk's leads, contacts, deals, drip campaigns, tasks, and video messages 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

LionDesk: Real estate CRM with video messaging and drip campaigns.

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

How LionDesk entities map to ThoughtSpot

LionDesk entityThoughtSpot objectNotes
leadsliondesk_leadsid PK · custom fields → flattened columns for searchable fields
contactsliondesk_contactsid PK · linked to liondesk_leads
dealsliondesk_dealsid PK · linked to liondesk_leads
drip campaignsliondesk_drip_campaignsid PK · linked to liondesk_leads

FAQ

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

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

Related pipelines

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