Aircall to Spotfire Integration

How Datrise loads Aircall into Spotfire

Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings 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

Aircall: Cloud phone system for sales and support teams.

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

How Aircall entities map to Spotfire

Aircall entity	Spotfire object	Notes
calls	`aircall_calls`	id PK · custom fields → flattened columns for visualizations
users	`aircall_users`	id PK · linked to aircall_calls
teams	`aircall_teams`	id PK · linked to aircall_calls
phone numbers	`aircall_phone_numbers`	id PK · linked to aircall_calls

FAQ

How does Datrise handle Aircall'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 Aircall 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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