Microsoft Dataverse → Oracle Database
AI-first ETL from Microsoft Dataverse into Oracle Database. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dataverse into Oracle Database
Datrise syncs Microsoft Dataverse's records, events, and configuration objects 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 Dataverse: SaaS or API data source for analytics and warehouse sync.
Oracle Database: Enterprise RDBMS with advanced partitioning and HA.
How Microsoft Dataverse entities map to Oracle Database
| Microsoft Dataverse entity | Oracle Database object | Notes |
|---|---|---|
| records | microsoft_dataverse_records | id PK · custom fields → JSON or CLOB columns |
| events | microsoft_dataverse_events | TIMESTAMP WITH TIME ZONE events |
| configuration objects | microsoft_dataverse_configuration_objects | id PK · linked to microsoft_dataverse_records |
FAQ
How does Datrise handle Microsoft Dataverse'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 Dataverse to Oracle Database sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.
Related pipelines
More destinations for Microsoft Dataverse
- Microsoft Dataverse → Snowflake
- Microsoft Dataverse → Google BigQuery
- Microsoft Dataverse → Amazon Redshift
- Microsoft Dataverse → Databricks SQL Warehouse
- Microsoft Dataverse → ClickHouse
- Microsoft Dataverse → DuckDB
- Microsoft Dataverse → Amazon Athena
- Microsoft Dataverse → Amazon S3 Data Lake
- Microsoft Dataverse → Azure Data Lake Storage
- Microsoft Dataverse → Azure Synapse
- Microsoft Dataverse → Spreadsheets
- Microsoft Dataverse → Airtable
More sources for Oracle Database
- Microsoft Sharepoint → Oracle Database
- Microsoft Teams → Oracle Database
- Ms Teams → Oracle Database
- Mssql SQL Server → Oracle Database
- My Hours → Oracle Database
- N8n → Oracle Database
- Nasa → Oracle Database
- Netsuite Suite Analytics → Oracle Database
- Netsuite Suite Analytics Legacy → Oracle Database
- New York Times → Oracle Database
- News API → Oracle Database
- Newsdata → Oracle Database
Early access
Connect Microsoft Dataverse to Oracle Database the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.