DatriseAI-first ETL

Microsoft Dataverse to Airtable Integration

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

How Datrise loads Microsoft Dataverse into Airtable

Datrise syncs Microsoft Dataverse's tables, rows, columns, relationships, choice sets, and change tracking into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.

Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.

Ideal for operational workflows and light CRM views in Airtable.

Endpoints

Microsoft Dataverse: Business data platform behind Dynamics and Power Apps.

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Microsoft Dataverse entities map to Airtable

Microsoft Dataverse entityAirtable objectNotes
tablesmicrosoft_dataverse_tablesid PK · custom fields → long-text JSON or linked records for nested data
rowsmicrosoft_dataverse_rowsid PK · linked to microsoft_dataverse_tables
columnsmicrosoft_dataverse_columnsid PK · linked to microsoft_dataverse_tables
relationshipsmicrosoft_dataverse_relationshipsid PK · linked to microsoft_dataverse_tables

FAQ

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

Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.

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

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

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