Insightly → ThoughtSpot
AI-first ETL from Insightly into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Insightly into ThoughtSpot
Datrise syncs Insightly's contacts, organizations, opportunities, projects, and delivery milestones 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
Insightly: CRM and lightweight project delivery.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Insightly entities map to ThoughtSpot
| Insightly entity | ThoughtSpot object | Notes |
|---|---|---|
| contacts | insightly_contacts | id PK · custom fields → flattened columns for searchable fields |
| organizations | insightly_organizations | id PK · linked to insightly_contacts |
| opportunities | insightly_opportunities | id PK · linked to insightly_contacts |
| projects | insightly_projects | id PK · linked to insightly_contacts |
FAQ
How does Datrise handle Insightly'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 Insightly to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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