Ashby to ThoughtSpot Integration
AI-first ETL from Ashby into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Ashby into ThoughtSpot
Datrise syncs Ashby's candidates, applications, jobs, interviews, offers, and interview feedback 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
Ashby: Applicant tracking and recruiting analytics.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Ashby entities map to ThoughtSpot
| Ashby entity | ThoughtSpot object | Notes |
|---|---|---|
| candidates | ashby_candidates | id PK · custom fields → flattened columns for searchable fields |
| applications | ashby_applications | id PK · linked to ashby_candidates |
| jobs | ashby_jobs | id PK · linked to ashby_candidates |
| interviews | ashby_interviews | id PK · linked to ashby_candidates |
FAQ
How does Datrise handle Ashby'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 Ashby 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 Ashby to ThoughtSpot the easy way
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