Aircall to PostgreSQL Integration
AI-first ETL from Aircall into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Aircall into PostgreSQL
Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Aircall: Cloud phone system for sales and support teams.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Aircall entities map to PostgreSQL
| Aircall entity | PostgreSQL object | Notes |
|---|---|---|
| calls | aircall_calls | id PK · custom fields → jsonb 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 PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Aircall to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Aircall
More sources for PostgreSQL
Early access
Connect Aircall to PostgreSQL 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.