Supercharged DBF Fixer with Advanced Functionality and an Intuitive Interface Released by Fix Toolbox
Fix Toolbox, an expert in the field of data recovery and supplier of a broad range of file repair and recovery solutions, announces the release of DBF Fix Toolbox, an ultimate DBF fixer capable of handling the most serious cases of data corruption and yet intuitive enough to be used by people of all skill levels. The new product features a considerably reworked recovery engine and improved efficiency.
Sacramento, CA (PRWEB) May 16, 2013
Fix Toolbox, a company known for its expensive line-up of top-quality and data recovery tools, is glad to present DBF Fix Toolbox, the most efficient and comprehensive DBF fixer of its kind available on the market. Intended for the mass audience, the software requires no previous data recovery experience and no deep technical expertise. DBF Fix Toolbox stands out of the crowd of competitors thanks to two major advantages: a highly intuitive wizard-based interface and a fast and accurate file analysis and recovery algorithms. This DBF fixer supports databases created in dBase, Clipper, FoxPro, Visual FoxPro 3.x and other database development tools. The program performs a detailed low-level analysis of damaged files and efficiently recovers tables, table fields, user data and data stored in MEMO field files. A built-in viewer makes it possible to preview recoverable data before extracting them from a damaged database, allowing the user to get a better idea of the scale of file corruption. DBF Fix Toolbox also allows the user to manually specify the format of the output file that the recovered data will be saved to.
“DBF databases are used in more applications today than you think,” explains Boris Bobrov, Senior Product Manager at Fix Toolbox. “These databases often run on older systems with equipment that´s been working for years, which obviously increases the chance of file corruption due to a hardware failure. Our solution is a great DBF fixer that works like a charm in the most serious data corruption incidents.”
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