Microsoft Dataverse to Apache Superset Integration
AI-first ETL from Microsoft Dataverse into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dataverse into Apache Superset
Datrise syncs Microsoft Dataverse's tables, rows, columns, relationships, choice sets, and change tracking into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
Microsoft Dataverse: Business data platform behind Dynamics and Power Apps.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Microsoft Dataverse entities map to Apache Superset
| Microsoft Dataverse entity | Apache Superset object | Notes |
|---|---|---|
| tables | microsoft_dataverse_tables | id PK · custom fields → flattened columns for the explore UI |
| 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 Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the Microsoft Dataverse to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Microsoft Dataverse
- Microsoft Dataverse → Metabase
- Microsoft Dataverse → Amazon QuickSight
- Microsoft Dataverse → Domo
- Microsoft Dataverse → Sisense
- Microsoft Dataverse → ThoughtSpot
- Microsoft Dataverse → Qlik
- Microsoft Dataverse → Mode
- Microsoft Dataverse → Redash
- Microsoft Dataverse → Chartio
- Microsoft Dataverse → Holistics
- Microsoft Dataverse → Birst
- Microsoft Dataverse → GoodData
More sources for Apache Superset
- Microsoft SharePoint → Apache Superset
- Microsoft Teams → Apache Superset
- Microsoft SQL Server → Apache Superset
- My Hours → Apache Superset
- n8n → Apache Superset
- NetSuite SuiteAnalytics → Apache Superset
- New York Times → Apache Superset
- News API → Apache Superset
- Newsdata → Apache Superset
- Notion → Apache Superset
- Okta → Apache Superset
- Omnisend → Apache Superset
Early access
Connect Microsoft Dataverse to Apache Superset the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.