Migrating data from Oracle to SQL Azure

This guide walks you through migrating data from Oracle to SQL Azure in a few simple steps using ESF Database Migration Toolkit. Simplify complex migration tasks and save valuable time with our streamlined approach.

Oracle vs. SQL Azure:

Oracle is a leading multinational computer technology corporation specializing in database management systems. Renowned for its robust and scalable database solutions, Oracle offers a comprehensive suite of products encompassing database technologies, cloud applications, and enterprise software. With a global presence and a reputation for innovation, Oracle serves diverse industries including finance, healthcare, retail, and manufacturing, empowering organizations to manage, secure, and analyze their data efficiently to drive business success.
Microsoft SQL Azure, also known as Azure SQL Database, is a fully managed relational database service provided by Microsoft. It offers scalable and high-performance SQL database capabilities in the cloud, with built-in high availability, automated backups, and robust security features. Designed to handle both small and large-scale applications, Azure SQL Database simplifies database management tasks, allowing developers to focus on building applications without worrying about underlying infrastructure. It supports various deployment options, including single databases, elastic pools, and managed instances, catering to diverse business needs.

Prerequisite:

Software Required:

DMToolkit_x64.zip (63.6 MiB)	64-bit Windows application for ESF Database Migration Toolkit 12.2.08 (2025-07-11). (md5: e93a0ef57622bfd8ee77d6aa6e38c13b)
DMToolkit_win32.zip (58.8 MiB)	32-bit Windows application for ESF Database Migration Toolkit 12.2.08 (2025-07-11). (md5: bd34cb7f73c88c6d0c7a44069ad756d6)

System Supported:
- Windows 7 or higher.
- Oracle 11g or higher.
- SQL Azure.

Step by Step Wizard:

Configure Oracle Data Source
- In the "Choose a Data Source" dialog:
  - Select "Oracle"
- Enter server details:
  - Server name: localhost (default)
  - Port: 1521 (default)
- Provide authentication:
  - Username: system (default)
  - Associated password
- Select logon method:
  - Choose from: SID, Service_Name, or TNS
- Database specification:
  - For SID/Service_Name: Enter value in Database field
  - For TNS: Leave Database field empty
- Schema configuration:
  - Enter schema name (defaults to username)
  - Optional: Click Refresh to view available schemas
Fig. 1: Oracle data source configuration
Configure SQL Azure Data Destination
- Prerequisite:
  - Enable access in Azure server's "Firewalls and virtual networks" page
  - Add your client IP to the firewall rules
- In the "Choose a Destination" dialog:
  - Select "SQL Azure"
- Enter server details:
  - Server name: e.g., esf.database.windows.net
  - Port: 1433 (default)
- Provide authentication credentials:
  - Username and password
- Database selection:
  - Click Refresh Database to load databases
  - Select target database
- Schema selection:
  - Click Refresh Schema to load schemas
  - Choose existing schema (dbo schema is default)
Fig. 2: SQL Azure data destination configuration
In "Select Source Table(s) & View(s)" Dialog
- Select migration objects: Choose tables or views to include in the migration.
  
  Fig. 3: Select tables and views
- Modify table structure: Click the ellipsis (...) button to access table options and schema adjustments.
  
  Fig. 4: Do transform
- Configure field mapping: In the Field Mapping options:
  - Customize destination fields (name, data type, default value, comments)
  - Select data transfer method:
    - Overwrite Table (replace existing data)
    - Empty Data (truncate before insert)
    - Append Data (add to existing data)
    - Skip Table (exclude from transfer)
  - Apply data filters before transfer
Execution Dialog
- Start migration: Click "Submit" to initiate automated data transfer from Oracle to SQL Azure.
  
  Fig. 5: Execute migration
- Monitor progress: Click "Browse Log" for real-time migration tracking, including issue resolution details.
- Save configuration: Click "Save as job" to store settings for:
  - Quick reloads of migration jobs
  - Command-line execution (use: dmtc.exe --help for parameter options)
Finished!

After migration completes, the toolkit generates a comprehensive report for verifying migration accuracy. You can monitor progress as the automated process runs efficiently. For any questions or feedback, contact us – our team is ready to assist.