Bigin by Zoho → ThoughtSpot
AI-first ETL from Bigin by Zoho into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bigin by Zoho into ThoughtSpot
Datrise syncs Bigin by Zoho's SMB leads, contacts, deals, and day-to-day activity tracking 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
Bigin by Zoho: SMB CRM source for leads, deals, and activity tracking.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Bigin by Zoho entities map to ThoughtSpot
| Bigin by Zoho entity | ThoughtSpot object | Notes |
|---|---|---|
| SMB leads | bigin_by_zoho_smb_leads | id PK · custom fields → flattened columns for searchable fields |
| contacts | bigin_by_zoho_contacts | id PK · linked to bigin_by_zoho_smb_leads |
| deals | bigin_by_zoho_deals | id PK · linked to bigin_by_zoho_smb_leads |
| day-to-day activity tracking | bigin_by_zoho_day_to_day_activity_tracking | date/time columns events |
FAQ
How does Datrise handle Bigin by Zoho'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 Bigin by Zoho to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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