DatriseAI-first ETL

Microsoft Azure to Domo Integration

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

How Datrise loads Microsoft Azure into Domo

Datrise syncs Microsoft Azure's subscriptions, resource groups, resources, usage records, costs, and activity logs into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Microsoft Azure: Azure subscription resources, usage, and billing.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Microsoft Azure entities map to Domo

Microsoft Azure entityDomo objectNotes
subscriptionsmicrosoft_azure_subscriptionsid PK · custom fields → flattened columns for Magic ETL
resource groupsmicrosoft_azure_resource_groupsid PK · linked to microsoft_azure_subscriptions
resourcesmicrosoft_azure_resourcesid PK · linked to microsoft_azure_subscriptions
usage recordsmicrosoft_azure_usage_recordsid PK · linked to microsoft_azure_subscriptions

FAQ

How does Datrise handle Microsoft Azure's custom fields in Domo?

Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.

How does the Microsoft Azure to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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