DatriseAI-first ETL

Aircall to Oracle Database Integration

AI-first ETL from Aircall into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads Aircall into Oracle Database

Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

Aircall: Cloud phone system for sales and support teams.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Aircall entities map to Oracle Database

Aircall entityOracle Database objectNotes
callsaircall_callsid PK · custom fields → JSON or CLOB columns
usersaircall_usersid PK · linked to aircall_calls
teamsaircall_teamsid PK · linked to aircall_calls
phone numbersaircall_phone_numbersid PK · linked to aircall_calls

FAQ

How does Datrise handle Aircall's custom fields in Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

How does the Aircall to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

Related pipelines

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