Salesflare → ThoughtSpot
AI-first ETL from Salesflare into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into ThoughtSpot
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines 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
Salesflare: B2B CRM focused on automation and relationship timeline data.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Salesflare entities map to ThoughtSpot
| Salesflare entity | ThoughtSpot object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → flattened columns for searchable fields |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | date/time columns events |
FAQ
How does Datrise handle Salesflare'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 Salesflare to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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