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Distributed MSSQL database converter software migrate database from MSSQL to MySQL and does not make changes in records. Database conversion application supports all versions of MS SQL server (200, 2005) and MySQL (4.0, 5.0, 5.1) databases.

SQL Database Repair software efficiently regenerate the corrupt MDF files of SQL database and secures them in the designated SQL Server or distinct batch file. Recoveryfix SQL Recovery tool works best with MS SQL Server 2000, 2005, 2008, and 2008 R2.

Load text files (or csv files) to MS Access. Create a new table or append to an existing table based on the contents of a file on your computer.

SQL Partition Manager provides a wizard-driven interface to partition tables in a large SQL Server database for improve performance and efficiency. It also lets you manage partitions - delete, split and merge them with a point-and-click simplicity.

SQL Drill Freeware Excel Add-In, Simplify data retrieval from SQL Server, Oracle, Sybase, MySQL and any other ODBC compliant database. SQL Drill adds easy database access to Ms Excel. For more information, please look at http://www.sqldrill.com

Use of third-party software like restore SQL database software can help you to efficiently scan and recover corrupt MDF database files within a matter of minutes. This SQL server recovery tool can even repair large-sized SQL database files.

Kernel for SQL server recovery is an advanced SQL database recovery software that efficiently recovers corrupt or damaged MDF files of SQL server database. The software recover data files with complete data integrity.

Corrupt SQL 2000 files is a straight indication of MDF file damage. To fix such damage, it is understood to repair SQL 2000, if you are dealing with such version of SQL Server. Prior taking any decision, just try the trial version of the tool.

Stellar Repair for MS SQL software repairs corrupt MDF and NDF files of SQL Server database. It also recovers all database objects from the affected files. The current v10.0 of the software supports parallel processing.