DatriseAI-first ETL

Microsoft Azure to Oracle Database Integration

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

How Datrise loads Microsoft Azure into Oracle Database

Datrise syncs Microsoft Azure's subscriptions, resource groups, resources, usage records, costs, and activity logs 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

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

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Microsoft Azure entities map to Oracle Database

Microsoft Azure entityOracle Database objectNotes
subscriptionsmicrosoft_azure_subscriptionsid PK · custom fields → JSON or CLOB columns
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 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 Microsoft Azure 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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