Totango → ThoughtSpot
AI-first ETL from Totango into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Totango into ThoughtSpot
Datrise syncs Totango'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
Totango: Customer success platform for health scores, playbooks, and renewals.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Totango entities map to ThoughtSpot
| Totango entity | ThoughtSpot object | Notes |
|---|---|---|
| contacts | totango_contacts | id PK · custom fields → flattened columns for searchable fields |
| accounts | totango_accounts | id PK · linked to totango_contacts |
| deals | totango_deals | id PK · linked to totango_contacts |
| activities | totango_activities | date/time columns events |
FAQ
How does Datrise handle Totango'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 Totango to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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Early access
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