Microsoft Dataverse → PlanetScale
AI-first ETL from Microsoft Dataverse into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dataverse into PlanetScale
Datrise syncs Microsoft Dataverse's records, events, and configuration objects into PlanetScale 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.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Microsoft Dataverse: SaaS or API data source for analytics and warehouse sync.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Microsoft Dataverse entities map to PlanetScale
| Microsoft Dataverse entity | PlanetScale object | Notes |
|---|---|---|
| records | microsoft_dataverse_records | id PK · custom fields → JSON columns |
| events | microsoft_dataverse_events | DATETIME events |
| configuration objects | microsoft_dataverse_configuration_objects | id PK · linked to microsoft_dataverse_records |
FAQ
How does Datrise handle Microsoft Dataverse's custom fields in PlanetScale?
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 PlanetScale types.
How does the Microsoft Dataverse to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Microsoft Dataverse
- Microsoft Dataverse → Amazon DynamoDB
- Microsoft Dataverse → Looker
- Microsoft Dataverse → Looker Studio
- Microsoft Dataverse → Microsoft Power BI
- Microsoft Dataverse → Tableau
- Microsoft Dataverse → Apache Superset
- Microsoft Dataverse → Metabase
- Microsoft Dataverse → Amazon QuickSight
- Microsoft Dataverse → Domo
- Microsoft Dataverse → Sisense
- Microsoft Dataverse → ThoughtSpot
- Microsoft Dataverse → Qlik
More sources for PlanetScale
- Microsoft Sharepoint → PlanetScale
- Microsoft Teams → PlanetScale
- Ms Teams → PlanetScale
- Mssql SQL Server → PlanetScale
- My Hours → PlanetScale
- N8n → PlanetScale
- Nasa → PlanetScale
- Netsuite Suite Analytics → PlanetScale
- Netsuite Suite Analytics Legacy → PlanetScale
- New York Times → PlanetScale
- News API → PlanetScale
- Newsdata → PlanetScale
Early access
Connect Microsoft Dataverse to PlanetScale the easy way
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