DatriseAI-first ETL

Oracle Database to Microsoft SQL Server Integration

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

How Datrise loads Oracle Database into Microsoft SQL Server

Datrise syncs Oracle Database's tables, rows, schemas, indexes, sequences, and redo log changes into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Oracle Database: Oracle Database for enterprise transactional workloads.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Oracle Database entities map to Microsoft SQL Server

Oracle Database entityMicrosoft SQL Server objectNotes
tablesoracle_db_tablesid PK · custom fields → NVARCHAR(MAX) JSON columns
rowsoracle_db_rowsid PK · linked to oracle_db_tables
schemasoracle_db_schemasid PK · linked to oracle_db_tables
indexesoracle_db_indexesid PK · linked to oracle_db_tables

FAQ

How does Datrise handle Oracle Database's custom fields in Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Oracle Database to Microsoft SQL Server sync stay up to date?

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

Related pipelines

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