Aircall to ThoughtSpot Integration
AI-first ETL from Aircall into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Aircall into ThoughtSpot
Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings 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
Aircall: Cloud phone system for sales and support teams.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Aircall entities map to ThoughtSpot
| Aircall entity | ThoughtSpot object | Notes |
|---|---|---|
| calls | aircall_calls | id PK · custom fields → flattened columns for searchable fields |
| users | aircall_users | id PK · linked to aircall_calls |
| teams | aircall_teams | id PK · linked to aircall_calls |
| phone numbers | aircall_phone_numbers | id PK · linked to aircall_calls |
FAQ
How does Datrise handle Aircall'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 Aircall to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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Early access
Connect Aircall to ThoughtSpot the easy way
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