SQL Server to Excel conversion and synchronization.

Convert database from SQL, Azure to Excel

To simplify the process of data migration from a Microsoft SQL Server or Windows Azure SQL databases to Excel spreadsheets (.xls and .xlsx formats) and vice versa, our DBConvert for Excel and MSSQL is the perfect solution.

In most cases Excel data would be consolidated to a MS SQL Server database. But in some situations there would be a business need to distribute part of the data in opposite direction from MSSQL to Excel spreadsheets.

Before creating your destination Excel data, you can visualize it in the configurable tree-view and change it using a large number of customizable settings. The application gives you an opportunity to filter the MSSQL source data needing to be transferred.

You can move your data just in few easy steps. The user interface is very user-friendly, streamlined and very simple to use.

All data transfers can be scheduled such that database migrations will happen automatically.

Supported databases:
  • Microsoft Excel
  • CSV
  • Microsoft SQL Server
  • Microsoft SQL Dump
  • Amazon RDS
  • Amazon Aurora
  • Azure Database for MySQL
  • Google Cloud SQL for MySQL
 DBConvert for Excel & MSSQL

Version: 1.4.6

Release Date: Feb. 13, 2024

Try All-in-one DB migration and Sync software.

DBConvert Studio

 Version: 4.0.9

Release Date: June 17, 2024

Supported databases:

  • SQL Server
  • MySQL
  • MariaDB
  • Percona
  • Oracle
  • PostgreSQL
  • Access
  • FoxPro
  • SQLite
  • Interbase
  • Firebird
  • IBM DB2
  • MS Azure SQL
  • Amazon RDS
  • Amazon Aurora
  • Heroku Postgres
  • Google Cloud

Using SQL Server to Excel conversion and synchronization tools.

When launching the DBConvert or DBSync application in GUI mode, it seamlessly guides you through the steps to initiate database migration or synchronization:

1. Connect to SQL Server source database.

Specify the username/password and host/port parameters if your source database requires login credentials.

Connect to SQL Server source database from DBConvert

2. Connect to Excel destination database.

Specify parameters for the destination database similar to the source, defining connection settings and username/password pairs.

Connect to Excel target database from DBConvert

NOTE #1: Each DBConvert or DBSync tool's name comprises two different databases, enabling any specified database to operate as the source or destination. Furthermore, the same type of database can function as both the source and destination.

NOTE #2: Connections to cloud databases (e.g., Amazon RDS, Google Cloud, or Azure SQL) aren't explicitly specified in the user interface but use the same settings as traditional on-premises databases.

NOTE #3: Connections to source and target databases remain active until you close the DBConvert/DBSync application or reopen new connections.

Refer to our documentation for specific source/ destination configurations for different databases.

3. Configure database migration options.

Specify the tables, fields, indices, and views you want to transfer to the Excel destination database by checking/unchecking the corresponding boxes.

Customize general database/ tables settings. Or configure specific table , field, index object individually when migrating data.

Explore our articles in the user's manual about Configuring database migration options. for detailed information.

The screenshot below summarizes the general features available in DBConvert software.

4. Detection of potential database migration issues. Errors and Warnings

The database enforces certain relations on the data, and on the customization step, an intelligent error checker verifies all possible data integrity and referential integrity issues. It highlights any problems before migration starts.

By default, DBConvert attempts to automatically map the database types of the source SQL Server database to the closest equivalent of the target Excel database types. However, you can manually change the data types for the entire database globally using the "Global mapping" or individually for each field.

Explore the Intelligent error checker for more information. on errors and warnings

5. Execution. The final stage of data migration.

Initiate the conversion or synchronization process after configuring source and destination databases in the previous steps.

Click the "Commit" button to start conversion. Here, you can also monitor the migration/synchronization process.

Optionally save connection settings and configuration parameters into the session file to schedule the launching of sync or migration jobs regularly.

Execution step of DBConvert products

Explore more about the options available during the execution stage

Command line mode

Pass previously saved sessions as parameters to the Command-Line DBConvert Client. A session retains SQL Server source and Excel target database connection settings with other specified options.

Example:

C:\Program Files\DBConvert\excel2mssqlPro\excel2mssqlPro_Cons.exe /Session:"Session_Name"

NOTE: First, run the software in GUI mode to create a session file with initial parameters.

Built-in scheduler.

Our applications include a built-in scheduler to run database migration and sync jobs at specified times. Set the scheduled date and time to execute job sessions automatically.

Find more Information about the built-in scheduler

DBConvert screenshot

Supported OS:

Requirements

  • Necessary privileges to write into database on the target SQL Server (this requirement is optional as there is an option to overcome the restrictions using dump file)
  • Microsoft Visual C++ 2008 x86 Redistributable package
  • Necessary privileges to write into network shared folder (LAN or VPN) where destination database Excel resides

Related Links

Highlights

Explore details regarding reverse migration.