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Visual Query Tool - Std 2.0 Std

Visual Query Tool - Std 2.0 Std

Visual Query Tool - Std Publisher's Description

Visual Query Tool is a powerful, high-flexibility, end-user friendly universal tool for database querying, processing and maintenance - based on structured parameterizable SQL command collections. It is compatible with all ODBC compliant databases. VQT can be used as a stand-alone tool for database querying and reporting with multiple displaying and optionally automated exporting possibilities: form and browse view, html-based printable report, business graphic, dbf and text file, xml data-file - suitable for example for data-island technology. How it works? After a preliminary pre-processing of tasks - replacing the formal parameter references with user-supplied values - Visual Query Tool executes the selected command, using standard ODBC connections. The result is displayed or saved immediately. You as a designer can build protected, user-safe command packages with customised command sets and parameter pages deployed to unqualified end-users - the interface will 'speak' your language through parameter page captions, descriptions and tooltips. It can be used as a stand-alone product or to extend the functionality of existing applications. The professional edition enables iterative DBF processing and support an extensible Obiect oriented scripting language. The available designer tools are: Structure Inspector, Visual Parameter page Designer, SQL Editor, Connection Manager, New Package Template Manager, Package Maintenance, simple debugging tools. Documentation and tutorial samples are included the in standard install kit. Download from and activate a trial version for free at www.vqtool.com. Due to its user-friendly interface, the learning curve is short and the deployment costs are at a low level. Connecting through widely accepted ODBC drivers, VQT is able to manage and process a very large scale of ODBC compliant SQL databases like Oracle, db2, MySQL and desktop databases like MS-Access, FoxPro or Clipper DBF tables.

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