Migrates corrupt/healthy SQL Server database MDF/NDF/LDF files to Azure SQL & Amazon RDS

Migrates corrupt as well as healthy MDF/NDF/LDF files of all SQL versions

Migrates to destinations like Azure SQL & Amazon RDS

Migrates even very large-sized SQL Server database files

Download trial version and preview migrated SQL database free

We develop ourProducts to meet your needs and solve your problems.

“We ensure excellency in our products. Our expert team worked with dedication to build perfect solution for SQL migration and recovery.”

Managing Director KernelApps

Clients

Amazed by the software performance. It works smoothly and restores the entire data miraculously.”

GeorgeUK

Clients

"Liked the UI very much. I migrated my SQL data to Amazon RDS using only 3-4 steps. Instant and efficient software."

Natalie Cooper, South Africa

Clients

"Impressed by this SQL migration software design and features. Best I liked is that it migrates selected objects to the destination."

Morgan Jenkins, South Africa

Clients

Great to know that I can migrate my corrupt SQL data so easily to Azure SQL Server. Hats off to the tool and the developers."

Katherine Henderson, South Africa

Clients

Brilliant software for SQL data migration to cloud server applications. No drawbacks, and a completely secure tool."

Brianna Bennett, UK

Salient Features

A brief description of the valuable features and options of Migrator for SQL Server tool.

Migrates All SQL Server Files With this SQL Migration tool, you can migrate both damaged and healthy SQL Server MDF or NDF files. It supports all sort of database files (protected, inaccessible, damaged, lost) for migrating the data residing in them.

Migrates All Database Objects SQL database migration software migrates all SQL Server database objects like rules, triggers, tables, function, views, primary keys, indexes, unique keys, stored procedures, foreign keys, default values, checks, and user data types.

Two Scanning Modes For scanning the corrupt SQL database files, the software possesses two scanning modes – Standard Scan & Advanced Scan. With these two scanning modes, you can migrate even highly corrupt SQL database files.

Preview of SQL Objects SQL Migration tool has an in-built Preview feature which allows viewing the SQL database objects before migration. Just by selecting the database object on the left-pane, users can see its content on the right-pane. On the preview pane, you can select the objects for the migration too.

Free Trial Version To understand the migration process, users can try the free version of SQL Migration tool. It has all the features of the tool - it scans the SQL database files and shows the preview of the content but cannot perform the migration. For performing migration, you will have to purchase the full version.

Maintains the Integrity of SQL Data It upholds the integrity of the SQL data during and after the migration. The data remains intact and secure until it gets saved at the desired destination.

Two Saving Options The software provides two saving destinations for the SQL database file. You can migrate the SQL data either to Microsoft Azure SQL Server or to Amazon RDS (by providing the server name and user credentials).

Wide Compatibility The software supports all versions - SQL server 2019/2017/2016/2014/2012/2008 R2/2008/2005/2000, Windows 10/8.1/8/7/Vista/XP/2000, & Windows Server 2016/2012 R2/2012/2008 R2/2008/2003 R2/2003.

FAQs

Please provide the steps for migrating SQL database to Azure SQL Server.

With Kernel Migrator for SQL Server, you can easily migrate the data to Azure SQL Server with the following steps:

Download and install the software on your system. Launch the Kernel Migrator for SQL Server software
Add the MDF file, choose the scanning mode and click Recover
All the database content gets retrieved. Click on the item to preview it. Select the required objects and click Save
Now, select the destination option, enter the server name and credentials. Click OK
After a couple of minutes, the data gets migrated to the specified destination

Can I migrate some data using the trial version of the tool?

No, you cannot migrate any data using the trial version of SQL Server Migration tool. However, you can have a preview of the added SQL Server database file.

Which SQL Server versions are supported by the tool for the migration?

The software supports all the SQL Server versions including SQL server 2019/2017/2016/2014/2012/2008 R2/2008/2005/2000.

Do I need to select the SQL Server version of the MDF file manually?

SQL Migration software has a feature that automatically detects the SQL Server version. But if it fails to detect the version or you want to add the version manually, you can do it manually.

Can I migrate SQL Server database files of any size?

Yes, SQL Migration tool has no limitations on the size of the SQL Server database file. You can migrate even large SQL database files to the destination using this tool.

Can I migrate my SQL data to a new database in Azure SQL Server?

Yes, you can definitely migrate to a newly created database besides migrating to an existing one (both in Azure SQL Server and Amazon RDS).

How it Work's

STEPS TO MIGRATE SQL Database

Kernel Migrator for SQL Server migrates data from corrupt/healthy SQL database files (MDF/NDF) to Microsoft Azure SQL Server and Amazon RDS. This SQL Migration software is built with powerful QFSCI algorithms and performs the migration in below steps:

01
SelectSelect the SQL Server MDF files you want to migrate.
02
PreviewSelect the desired SQL Objects on the left-pane and preview them.
03
SaveSelect one out of the two saving options, provide the credentials and save the data.

Software Prerequisites & Recommendations

About Software

License Type
Corporate & Technician
Version Support
MS SQL Server 2019/2017/2016/2014/2012/2008 R2/2008/2005/2000

System Requirements

Hard Disk
50 MB of disk space
Memory
256 MB Minimum RAM
Processor
Intel® Pentium Processor compatible (x86, x64) or equivalent
Operating System
Windows 11, 10, 8.1, 8, 7, Vista, XP, 2000, 98, NT, 95 Windows Server 2016, 2012, 2008 R2, 2008, 2003 R2, 2003