DatriseAI-first ETL

Microsoft Azure Supabase

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

How Datrise loads Microsoft Azure into Supabase

Datrise syncs Microsoft Azure's records, events, and configuration objects into Supabase as a typed table per source entity in your Supabase Postgres. 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Microsoft Azure: SaaS or API data source for analytics and warehouse sync.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Microsoft Azure entities map to Supabase

Microsoft Azure entitySupabase objectNotes
recordsmicrosoft_azure_recordsid PK · custom fields → jsonb columns
eventsmicrosoft_azure_eventstimestamptz events
configuration objectsmicrosoft_azure_configuration_objectsid PK · linked to microsoft_azure_records

FAQ

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

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 Supabase types.

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

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

Related pipelines

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