Data Comparisons

Compare data between two SQL database tables quickly & easily.


Data Comparisons Express

  • Our free edition
  • Connect to any version of Microsoft SQL Server
  • Compare data between two database tables
  • Color-coded grid shows all differences and missing rows in a single view
  • Quick comparison mode offers a huge performance boost for same-server connections
Get it from CNET Download.com!

Or download here (327 KB)

Current version: 0.97.1.0 Beta

Data Comparisons Professional (coming soon)

  • All the features of the Express edition plus:
    • In-place editing
    • Compare multiple tables at once
    • Save your comparisons and use them again later
    • And more...

Summary

Data Comparisons was designed to be a simple tool that allows you to compare two SQL database tables of like schemas. It'll find any and all differences between the two tables you're comparing and display them in an easy to understand color-coded grid.

Open our video demonstration to see Data Comparisons Express in action before you download.

Screenshots

Make your database connections Configure your comparison View the differences

Compatibility

  • All versions of Windows XP, Windows Vista, and Windows 7 are supported
  • Connect to any version of Microsoft SQL Server
  • You must have .NET Framework 3.5 SP1 (our installer will automatically detect & download if necessary)

Technobabble

Designed in Microsoft's new WPF (Windows Presentation Foundation), Data Comparisons utilizes features such as video card accelerated graphics processing and UI virtualization. The benefit of these technologies coming together is a more flexible and responsive user interface than conventional Windows applications as well as the ability to handle very large result sets without running into GDI object limitations.

In addition to this, multi-threading is leveraged carefully to allow the user to cancel any action that could potentially take a long time to execute. This includes attempting to connect to an unresponsive server, as well as retrieving large amounts of data.

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