Aircall to GoodData Integration
AI-first ETL from Aircall into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Aircall into GoodData
Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Aircall: Cloud phone system for sales and support teams.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Aircall entities map to GoodData
| Aircall entity | GoodData object | Notes |
|---|---|---|
| calls | aircall_calls | id PK · custom fields → flattened columns |
| 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 GoodData?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native GoodData types.
How does the Aircall to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Aircall
Early access
Connect Aircall to GoodData the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.