Microsoft Azure → PostgreSQL
AI-first ETL from Microsoft Azure into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Azure into PostgreSQL
Datrise syncs Microsoft Azure's records, events, and configuration objects into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Microsoft Azure: SaaS or API data source for analytics and warehouse sync.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Microsoft Azure entities map to PostgreSQL
| Microsoft Azure entity | PostgreSQL object | Notes |
|---|---|---|
| records | microsoft_azure_records | id PK · custom fields → jsonb columns |
| events | microsoft_azure_events | timestamptz events |
| configuration objects | microsoft_azure_configuration_objects | id PK · linked to microsoft_azure_records |
FAQ
How does Datrise handle Microsoft Azure's custom fields in PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Microsoft Azure to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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Early access
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