DealerSocket to ThoughtSpot Integration
AI-first ETL from DealerSocket into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads DealerSocket into ThoughtSpot
Datrise syncs DealerSocket's leads, customers, vehicles, deals, showroom visits, and trade-ins 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
DealerSocket: Automotive dealer CRM for showroom and desking workflows.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How DealerSocket entities map to ThoughtSpot
| DealerSocket entity | ThoughtSpot object | Notes |
|---|---|---|
| leads | dealersocket_leads | id PK · custom fields → flattened columns for searchable fields |
| customers | dealersocket_customers | id PK · linked to dealersocket_leads |
| vehicles | dealersocket_vehicles | id PK · linked to dealersocket_leads |
| deals | dealersocket_deals | id PK · linked to dealersocket_leads |
FAQ
How does Datrise handle DealerSocket'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 DealerSocket to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
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