DatriseAI-first ETL

Bigin by Zoho Spotfire

AI-first ETL from Bigin by Zoho into Spotfire. Governed entities, incremental sync, typed landing tables.

How Datrise loads Bigin by Zoho into Spotfire

Datrise syncs Bigin by Zoho's SMB leads, contacts, deals, and day-to-day activity tracking into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

Bigin by Zoho: SMB CRM source for leads, deals, and activity tracking.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Bigin by Zoho entities map to Spotfire

Bigin by Zoho entitySpotfire objectNotes
SMB leadsbigin_by_zoho_smb_leadsid PK · custom fields → flattened columns for visualizations
contactsbigin_by_zoho_contactsid PK · linked to bigin_by_zoho_smb_leads
dealsbigin_by_zoho_dealsid PK · linked to bigin_by_zoho_smb_leads
day-to-day activity trackingbigin_by_zoho_day_to_day_activity_trackingdate/time columns events

FAQ

How does Datrise handle Bigin by Zoho's custom fields in Spotfire?

Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.

How does the Bigin by Zoho to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

Early access

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