Oracle to SQL Server Migration Services By WME

Licensing costs don’t remain static. Every renewal cycle, every audit notice, every processor count review adds to the bill.

Organizations running Oracle DB have done the math. The next step is execution.

The Oracle Licensing Clock is Running. The Exit Window Is Now.

Oracle Migration Is Driven by Licensing Economics, Not Technology

Database migration covers far more than moving files. It means transferring your source database to a validated target database on Azure, without breaking dependent applications or losing a single record.

Different Licensing Model

Microsoft SQL Server on Azure operates on a different model entirely. SQL Server database licensing is predictable. The database platforms are not comparable on cost structure. Organizations that convert Oracle workloads to MS SQL Server eliminate a recurring financial liability.

Cost-driven Decision

Oracle’s licensing model charges per processor core. Every workload expansion triggers a new bill. Audit risk is real in that Oracle audits can be initiated with limited notice and findings carry significant cost. Licensing costs alone justify the migration project for most organizations.

That's the driver. WME executes the migration.

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What You're Actually Moving And Where It Lands

Migrating Oracle databases means moving schema, business logic, SQL code, and data, not just flipping a switch.

From the Oracle Environment

  • Oracle DB schema, stored procedures, views, triggers
  • PL/SQL business logic across every layer of the source database
  • Data types requiring explicit data type mapping
  • Source table structures, source schema, data source connections
  • Oracle SQL Developer scripts and SQL scripts built into daily operations

To Microsoft SQL Server on Azure

  • Azure SQL Database or Azure SQL Managed Instance
  • SQL Server Schema rebuilt and validated
  • Converted database objects tested before data migration begins
  • High availability and security features configured natively
  • Microsoft Azure as the long-term infrastructure home

The migration process is a full workload transition. Every layer gets touched.

Migrate Oracle to SQL Server on Azure. WME runs the migration project start to finish.

Schema Conversion

Oracle and SQL Server handle schema structures differently. CREATE TABLE syntax, identity columns, TIME ZONE handling, and ROWCOUNT behavior require the database schema to be rebuilt for SQL Server instead of copied directly.

PL/SQL and SQL Code

PL/SQL does not run on SQL Server. Business logic, SQL scripts, and Oracle-specific functions must be rewritten into T-SQL and reviewed individually.

Data Type Mapping

Oracle data types do not map cleanly to SQL Server. Column-level data type mapping is required to avoid truncation, failed INSERT statements, and data integrity issues after cutover.

INSERT Statements at Scale

Bulk INSERT behavior differs between Oracle and SQL Server. Data migration testing validates INSERT performance, locking behavior, and table integrity before production cutover.

To convert from Oracle to SQL Server, four things must be done correctly. Miss any one, and the migration project fails at go-live.

Convert Oracle – The Technical Work, Without the Jargon

SQL Server Migration Assistant. The Starting Point, Not the Finish Line

SSMA assesses the Oracle database and partially converts schema objects, while generating detailed conversion reports and mapping outputs for manual review.

It handles straightforward database objects well, while flagging data type mapping issues and SQL code requiring manual review.

What SSMA Doesn't Handle

  • Complex PL/SQL business logic
  • Oracle SQL Developer script dependencies
  • Linked server configurations in the target environment
  • Application-layer SQL code with Oracle-specific functions
  • Edge-case data type mapping it flags but can’t resolve

To migrate Oracle fully, automation gets you 60–70% of the way. The rest is engineering.

Linked Server Rebuild

Linked server configurations must be rebuilt and remapped in SQL Server. Missing dependencies can break application behavior after cutover.

TIME ZONE Handling

Oracle and SQL Server handle TIME ZONE data differently. Datetime mismatches can create reporting inconsistencies and downstream data issues.

Data Warehouse Workloads

Oracle ETL and data warehouse pipelines often require rebuilding using SQL Server Integration Services or Azure-based tooling. Source tables, data flows, and INSERT patterns require validation.

Database Performance After Cutover

Indexing, execution plans, and query behavior differ between Oracle and SQL Server. Performance benchmarking and tuning are required before production cutover.

Database Connection & Application Layer

Applications using Oracle-specific SQL syntax require connection string updates, SQL rewrites, and compatibility testing before go-live.

Migration Challenges Every Oracle Migration Project Faces

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Connect to SQL Server and Validate

Applications, SQL scripts, and database connections are tested against SQL Server. Oracle-specific dependencies are identified and replaced where required.

Cutover & Handoff

We manage production cutover, configure availability and security settings, validate workloads, and support post-go-live stabilization.

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Assessment

We assess schema complexity, PL/SQL usage, data type mapping gaps, linked server dependencies, and migration scope before creating the migration plan.

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Convert Oracle Schema & SQL Code

We run SSMA assessments, review converted database objects, rewrite PL/SQL into T-SQL, and validate SQL Server schema compatibility before migration begins.

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Data Migration

We migrate data into Azure SQL Database, validate INSERT behavior, and track data integrity between source and target environments throughout the transfer process.

WME is a Microsoft-aligned partner. Every Oracle migration is designed for SQL Server on Azure.

WME's Migration Service. How It Runs?

Resolve data type mapping before large-scale data migration

Run SSMA assessments before converting Oracle objects

Validate business logic in the target database early

Review linked server and data source dependencies independently

Benchmark      SQL Server performance before cutover

Treat Oracle migration as an iterative process instead of a single-pass task

What We Follow on Every Migration Project

Exit Oracle. For Good.

The next Oracle audit doesn’t need a recovery plan. It needs a migration project.