Moskit CRM → ThoughtSpot
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, 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
Moskit CRM: CRM widely used in Latin America for sales pipeline and customer ops.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Moskit CRM entities map to ThoughtSpot
| Moskit CRM entity | ThoughtSpot object | Notes |
|---|---|---|
| contacts | moskit_contacts | id PK · custom fields → flattened columns for searchable fields |
| accounts | moskit_accounts | id PK · linked to moskit_contacts |
| deals | moskit_deals | id PK · linked to moskit_contacts |
| activities | moskit_activities | date/time columns events |
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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