Front to ThoughtSpot Integration
AI-first ETL from Front into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Front into ThoughtSpot
Datrise syncs Front's conversations, messages, contacts, inboxes, tags, and teammates 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
Front: Shared inbox for team email and messaging.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Front entities map to ThoughtSpot
| Front entity | ThoughtSpot object | Notes |
|---|---|---|
| conversations | frontapp_conversations | id PK · custom fields → flattened columns for searchable fields |
| messages | frontapp_messages | id PK · linked to frontapp_conversations |
| contacts | frontapp_contacts | id PK · linked to frontapp_conversations |
| inboxes | frontapp_inboxes | id PK · linked to frontapp_conversations |
FAQ
How does Datrise handle Front'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 Front to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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Early access
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