DatriseAI-first ETL

Aircall to MicroStrategy Integration

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

How Datrise loads Aircall into MicroStrategy

Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Aircall: Cloud phone system for sales and support teams.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Aircall entities map to MicroStrategy

Aircall entityMicroStrategy objectNotes
callsaircall_callsid PK · custom fields → flattened 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 MicroStrategy?

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 MicroStrategy types.

How does the Aircall to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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