Migrating data from SQL Server to Excel(*.xls; *.xlsx)
This guide walks you through migrating data from SQL Server to MS Excel in a few simple steps using ESF Database Migration Toolkit. Simplify complex migration tasks and save valuable time with our streamlined approach.
SQL Server vs. MS Excel:
SQL Server is a robust relational database management system developed by Microsoft, designed for a wide range of data management applications. It supports a variety of transaction processing, business intelligence, and analytics applications in corporate IT environments. Known for its high performance, scalability, and security features, SQL Server offers comprehensive tools for database creation, management, and maintenance, making it a preferred choice for both small-scale applications and large enterprise systems. Its integration with other Microsoft products and services further enhances its versatility and ease of use.
Microsoft Excel is a powerful spreadsheet software developed by Microsoft, widely used for organizing, analyzing, and visualizing data. It offers a wide range of features including calculation, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA). Excel enables users to create complex formulas, perform data analysis, and generate professional-looking charts and graphs. It is extensively utilized in various fields such as finance, accounting, engineering, and data analysis for its versatility and ease of use.
32-bit Windows application for ESF Database Migration Toolkit 12.2.09 (2025-07-17). (md5: 1b7566ee53ff21b6dc8444741b9da73a)
System Supported:
Windows 7 or higher.
SQL Server 6.5 or higher.
MS Excel 97 or higher.
Step by Step Wizard:
Configure Microsoft SQL Server Data Source
In the "Choose a Data Source" dialog:
Select "Microsoft SQL Server"
Server connection details:
Enter host name (include instance if needed): e.g., localhost\sqlexpress
For TCP/IP connections:
Port number: 0 (default, uses named pipes)
Provide username (e.g., sa) and password
Authentication method:
Check Windows Authentication checkbox for integrated security
Database configuration:
Click Refresh Database to list databases
Select existing database or enter new database name
New databases are automatically created during migration
Schema configuration:
Click Refresh Schema to list schemas
Select existing schema or enter new schema name
New schemas are automatically created during migration
Default: dbo (if left empty)
Fig. 1: Microsoft SQL Server data source configuration
Microsoft Excel Destination Configuration
In the "Choose a Destination" dialog:
Select "Microsoft Excel(*.xls;*.xlsx)"
File selection:
Click the "..." button (Browse)
Select your target Excel file (.XLS or .XLSX format)
Fig. 2: Microsoft Excel 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 SQL Server to MS Excel.
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.