DatriseAI-first ETL

Microsoft Dynamics 365 Oracle Database

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

How Datrise loads Microsoft Dynamics 365 into Oracle Database

Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

Microsoft Dynamics 365: Microsoft enterprise CRM and ERP suite.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Microsoft Dynamics 365 entities map to Oracle Database

Microsoft Dynamics 365 entityOracle Database objectNotes
accountsmicrosoft_dynamics_accountsid PK · custom fields → JSON or CLOB columns
opportunitiesmicrosoft_dynamics_opportunitiesid PK · linked to microsoft_dynamics_accounts
activitiesmicrosoft_dynamics_activitiesTIMESTAMP WITH TIME ZONE 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 Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

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