DatriseAI-first ETL

Mssql SQL Server Oracle Database

AI-first ETL from Mssql SQL Server into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mssql SQL Server into Oracle Database

Datrise syncs Mssql SQL Server'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

Mssql SQL Server: SaaS or API data source for analytics and warehouse sync.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Mssql SQL Server entities map to Oracle Database

Mssql SQL Server entityOracle Database objectNotes
recordsmssql_sql_server_recordsid PK · custom fields → JSON or CLOB columns
eventsmssql_sql_server_eventsTIMESTAMP WITH TIME ZONE events
configuration objectsmssql_sql_server_configuration_objectsid PK · linked to mssql_sql_server_records

FAQ

How does Datrise handle Mssql SQL Server'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 Mssql SQL Server to Oracle Database sync stay up to date?

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

Related pipelines

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