DatriseAI-first ETL

Crelate ThoughtSpot

AI-first ETL from Crelate into ThoughtSpot. Governed entities, incremental sync, typed landing tables.

How Datrise loads Crelate into ThoughtSpot

Datrise syncs Crelate'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

Crelate: Recruiting CRM/ATS for candidates, pipelines, and placements.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Crelate entities map to ThoughtSpot

Crelate entityThoughtSpot objectNotes
contactscrelate_contactsid PK · custom fields → flattened columns for searchable fields
accountscrelate_accountsid PK · linked to crelate_contacts
dealscrelate_dealsid PK · linked to crelate_contacts
activitiescrelate_activitiesdate/time columns events

FAQ

How does Datrise handle Crelate'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 Crelate to ThoughtSpot sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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