DatriseAI-first ETL

Aircall to Azure Synapse Integration

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

How Datrise loads Aircall into Azure Synapse

Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Aircall: Cloud phone system for sales and support teams.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Aircall entities map to Azure Synapse

Aircall entityAzure Synapse objectNotes
callsaircall_callsid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Aircall to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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