DatriseAI-first ETL

Microsoft Dataverse Spreadsheets

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

How Datrise loads Microsoft Dataverse into Spreadsheets

Datrise syncs Microsoft Dataverse's records, events, and configuration objects into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

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

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Microsoft Dataverse entities map to Spreadsheets

Microsoft Dataverse entitySpreadsheets objectNotes
recordsmicrosoft_dataverse_recordsid PK · custom fields → JSON-stringified cells for nested fields
eventsmicrosoft_dataverse_eventsISO-8601 text or serial date cells events
configuration objectsmicrosoft_dataverse_configuration_objectsid PK · linked to microsoft_dataverse_records

FAQ

How does Datrise handle Microsoft Dataverse's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the Microsoft Dataverse to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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