Vtiger → ThoughtSpot
AI-first ETL from Vtiger into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vtiger into ThoughtSpot
Datrise syncs Vtiger's sales, support, and lifecycle workflows in a unified CRM model 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
Vtiger: Unified CRM for sales, help desk, and customer lifecycle workflows.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Vtiger entities map to ThoughtSpot
| Vtiger entity | ThoughtSpot object | Notes |
|---|---|---|
| sales | vtiger_sales | id PK · custom fields → flattened columns for searchable fields |
| support | vtiger_support | id PK · linked to vtiger_sales |
| lifecycle workflows in a unified CRM model | vtiger_lifecycle_workflows_in_a_unified_crm_model | id PK · linked to vtiger_sales |
FAQ
How does Datrise handle Vtiger'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 Vtiger to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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