Merge to ThoughtSpot Integration
AI-first ETL from Merge into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Merge into ThoughtSpot
Datrise syncs Merge's linked accounts, employees, candidates, contacts, invoices, and sync statuses 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
Merge: Unified API across HR, CRM, and accounting tools.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Merge entities map to ThoughtSpot
| Merge entity | ThoughtSpot object | Notes |
|---|---|---|
| linked accounts | merge_linked_accounts | id PK · custom fields → flattened columns for searchable fields |
| employees | merge_employees | id PK · linked to merge_linked_accounts |
| candidates | merge_candidates | id PK · linked to merge_linked_accounts |
| contacts | merge_contacts | id PK · linked to merge_linked_accounts |
FAQ
How does Datrise handle Merge'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 Merge 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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