Download software tagged by data export from sql server databases

The blueshell Data Guy is an ADO-based editor for virtually all types of databases. This program supports Jet (Access, dBase, Paradox etc.), Oracle, SQL Server, MySQL, Sybase, other OLEDB and ODBC providers, Cut and Paste, Drag and Drop, Explorer..

Stellar Phoenix SQL Backup Recovery allows safe restoration of SQL Server databases from damaged MS SQL backup (.bak) files. The software provides preview of database after scan to facilitate data verification before heading for final recovery

Apex SQL Script converts databases to scripts, .net exe's and deployment packages. Apex SQL Script creates insert scripts from Microsoft SQL Server database that can be archived, emailed, checked into source control, run against another database etc

Recovery for SQL Server extracts data from offline or corrupted SQL Server database files. Restores tables, views, stored procedures, triggers, indexes. Supports MS SQL Server 6.5, 7.0, 2000, 2005, 2008.

UniDirect .NET Data Provider offers universal access to the data of databases for the Microsoft .NET Framework. It supports most of major database servers, including Microsoft SQL Server, Microsoft Access, Oracle, MySQL, PostgreSQL and many more.

Kernel for SQL Database is a professionally-trusted MDF file recovery software for an expedient and effortless recovery solution. The software is well-competent to recover data from corrupt database files of any version of SQL server.

Convert MS SQL Server 2000 or 2005 tables to XML through a step by step wizard. XML output can be fully customized to contain database fields as tags and additional tags for separating records.

Export Query for Microsoft SQL Server helps to save a query results to text file. The program supports delimited or fixed length formats. Export utility has easy to learn and to use wizard interface. All modern versions of SQL Server are supported.

Horizontally merge (combine, match, union) two MS SQL Server tables into one by a common column (field) of data. The two tables are not changed, a new table is created with the results. No complicated options or SQL knowledge required.