Microsoft Dataverse to Amazon Redshift Integration
AI-first ETL from Microsoft Dataverse into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dataverse into Amazon Redshift
Datrise syncs Microsoft Dataverse's tables, rows, columns, relationships, choice sets, and change tracking into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Microsoft Dataverse: Business data platform behind Dynamics and Power Apps.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Microsoft Dataverse entities map to Amazon Redshift
| Microsoft Dataverse entity | Amazon Redshift object | Notes |
|---|---|---|
| tables | microsoft_dataverse_tables | id PK · custom fields → SUPER columns |
| rows | microsoft_dataverse_rows | id PK · linked to microsoft_dataverse_tables |
| columns | microsoft_dataverse_columns | id PK · linked to microsoft_dataverse_tables |
| relationships | microsoft_dataverse_relationships | id PK · linked to microsoft_dataverse_tables |
FAQ
How does Datrise handle Microsoft Dataverse's custom fields in Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Microsoft Dataverse to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Microsoft Dataverse
- Microsoft Dataverse → Databricks SQL Warehouse
- Microsoft Dataverse → ClickHouse
- Microsoft Dataverse → DuckDB
- Microsoft Dataverse → Amazon Athena
- Microsoft Dataverse → Amazon S3 Data Lake
- Microsoft Dataverse → Azure Data Lake Storage
- Microsoft Dataverse → Azure Synapse
- Microsoft Dataverse → Spreadsheets
- Microsoft Dataverse → Airtable
- Microsoft Dataverse → CSV Files
- Microsoft Dataverse → MongoDB
- Microsoft Dataverse → Supabase
More sources for Amazon Redshift
- Microsoft SharePoint → Amazon Redshift
- Microsoft Teams → Amazon Redshift
- Microsoft SQL Server → Amazon Redshift
- My Hours → Amazon Redshift
- n8n → Amazon Redshift
- NetSuite SuiteAnalytics → Amazon Redshift
- New York Times → Amazon Redshift
- News API → Amazon Redshift
- Newsdata → Amazon Redshift
- Notion → Amazon Redshift
- Okta → Amazon Redshift
- Omnisend → Amazon Redshift
Early access
Connect Microsoft Dataverse to Amazon Redshift the easy way
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