DBSophic Releases Qure Version 1.5, Performance Optimization Solution for SQL Server Databases

DBSopic, a developer of software solutions for database performance optimization, has announced the release of Qure version 1.5. Qure is DBSophic's solution for performance tuning of Microsoft SQL server (2005 and 2008) databases. It is a software solution for automatic analysis, identification, and resolution of slow performance issues in these databases. Qure 1.5 is a valuable tool that helps reduce operational costs associated with managing the performance of mission-critical databases, increasing operational efficiency, and reducing unwarranted expenses, thus granting organizations a rapid return on investment.

The new version includes an improved trial feature that can be downloaded from the company's website free of charge. The trial version presents multiple benefits including performing a quick, yet thorough, analysis of the database, and providing a clear view of all database activities, sorted by their resource consumption metrics. In addition, the free demo provides accurate measurements of the improvement potential of all analyzed batches, a sample of the generated recommendations for several batches and their corrective scripts, in order to allow the user to experience Qure's ease of use and effectiveness.

Inbal Barit, marketing manager for DBSophic, tells 5 Minute Briefing that "running a demo analysis will allow users to find out just how much their database performance can improve. Running a full analysis will also supply them with the tools to fully optimize their databases. Additionally, the new version includes UI improvements to the batches screen, now displaying the batches in a tree format and showing each batch's parameter sets, similar to the display of the DBSophic Trace Analyzer product."

The enhanced UI and additional performance optimization recommendations allow users to quickly pinpoint and optimize the performance of the most resource-consuming batches, improve application user experience and reduce hardware bottlenecks, allowing organizations to continuously improve their databases' performance.

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