DatriseAI-first ETL

Freshsales Spotfire

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

How Datrise loads Freshsales into Spotfire

Datrise syncs Freshsales's leads, contacts, deals, calls, and email activity telemetry 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

Freshsales: CRM by Freshworks with built-in phone and email.

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

How Freshsales entities map to Spotfire

Freshsales entitySpotfire objectNotes
leadsfreshsales_leadsid PK · custom fields → flattened columns for visualizations
contactsfreshsales_contactsid PK · linked to freshsales_leads
dealsfreshsales_dealsid PK · linked to freshsales_leads
callsfreshsales_callsid PK · linked to freshsales_leads

FAQ

How does Datrise handle Freshsales'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 Freshsales to Spotfire sync stay up to date?

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

Related pipelines

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