DatriseAI-first ETL

Microsoft Azure to MySQL Integration

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

How Datrise loads Microsoft Azure into MySQL

Datrise syncs Microsoft Azure's subscriptions, resource groups, resources, usage records, costs, and activity logs into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Microsoft Azure entities map to MySQL

Microsoft Azure entityMySQL objectNotes
subscriptionsmicrosoft_azure_subscriptionsid PK · custom fields → JSON 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 MySQL?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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