DatriseAI-first ETL

Microsoft Dynamics 365 Airtable

AI-first ETL from Microsoft Dynamics 365 into Airtable. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft Dynamics 365 into Airtable

Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data 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 Dynamics 365: Microsoft enterprise CRM and ERP suite.

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

How Microsoft Dynamics 365 entities map to Airtable

Microsoft Dynamics 365 entityAirtable objectNotes
accountsmicrosoft_dynamics_accountsid PK · custom fields → long-text JSON or linked records for nested data
opportunitiesmicrosoft_dynamics_opportunitiesid PK · linked to microsoft_dynamics_accounts
activitiesmicrosoft_dynamics_activitiesdate/dateTime fields events
enterprise CRM process datamicrosoft_dynamics_enterprise_crm_process_dataid PK · linked to microsoft_dynamics_accounts

FAQ

How does Datrise handle Microsoft Dynamics 365'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 Dynamics 365 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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