DatriseAI-first ETL

Kommo ThoughtSpot

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

How Datrise loads Kommo into ThoughtSpot

Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers 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

Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.

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

How Kommo entities map to ThoughtSpot

Kommo entityThoughtSpot objectNotes
conversational CRM eventskommo_conversational_crm_eventsdate/time columns events
chatskommo_chatsid PK · linked to kommo_conversational_crm_events
leadskommo_leadsid PK · linked to kommo_conversational_crm_events
sales automation triggerskommo_sales_automation_triggersid PK · linked to kommo_conversational_crm_events

FAQ

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

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

Related pipelines

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