DatriseAI-first ETL

Moskit CRM to ThoughtSpot Integration

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

How Datrise loads Moskit CRM into ThoughtSpot

Datrise syncs Moskit CRM's contacts, companies, deals, funnel stages, tasks, and sales goals 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

Moskit CRM: Sales CRM for Brazilian inside-sales teams.

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

How Moskit CRM entities map to ThoughtSpot

Moskit CRM entityThoughtSpot objectNotes
contactsmoskit_contactsid PK · custom fields → flattened columns for searchable fields
companiesmoskit_companiesid PK · linked to moskit_contacts
dealsmoskit_dealsid PK · linked to moskit_contacts
funnel stagesmoskit_funnel_stagesid PK · linked to moskit_contacts

FAQ

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

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

Related pipelines

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