Salesloft → ThoughtSpot
AI-first ETL from Salesloft into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesloft into ThoughtSpot
Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution 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
Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Salesloft entities map to ThoughtSpot
| Salesloft entity | ThoughtSpot object | Notes |
|---|---|---|
| cadence activity | salesloft_cadence_activity | date/time columns events |
| conversation signals | salesloft_conversation_signals | id PK · linked to salesloft_cadence_activity |
| revenue workflow execution | salesloft_revenue_workflow_execution | id PK · linked to salesloft_cadence_activity |
FAQ
How does Datrise handle Salesloft'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 Salesloft to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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