DatriseAI-first ETL

Microsoft Dynamics 365 Metabase

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

How Datrise loads Microsoft Dynamics 365 into Metabase

Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Microsoft Dynamics 365: Microsoft enterprise CRM and ERP suite.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Microsoft Dynamics 365 entities map to Metabase

Microsoft Dynamics 365 entityMetabase objectNotes
accountsmicrosoft_dynamics_accountsid PK · custom fields → flattened columns for the question builder
opportunitiesmicrosoft_dynamics_opportunitiesid PK · linked to microsoft_dynamics_accounts
activitiesmicrosoft_dynamics_activitiestemporal columns for trends 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 Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the Microsoft Dynamics 365 to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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