What you get with R-Studio and what the average market price is for that type ofġ. It definitely costs less than most of them! Let's see Why does R-Studio cost more than some competitive data recovery utilities? R-Studio before you have tried R-Undelete. Simple, common cases, there is no reason, from a savings perspective, to purchase You may upgrade it to R-Studio for the initial price difference only. Important! Within one year of the date that you purchased your R-Undelete license, Support for RAIDs and logical volume managers Scan for known file types ( raw file search) Recognition of deleted complex partition layouts Below you may compare the main features of R-Studio and R-Undelete.Ĭlick image to enlarge R-Studio Main panel Click image to enlarge R-Undelete Main panel FeaturesĮxtensive and versatile search for files to recoverįile sorting by file types and timestampsįile preview to estimate data recovery chancesįile recovery from deleted/reformatted/corrupted logical disks It's the best choice for basic and some advanced data recovery needs. Its three-step wizard-oriented user interface provides an easier way to perform ordinary file recovery tasks without any compromise to their efficiency. However, we recommend to those who still feel uncomfortable with the software after reading the Manual that they start their data recovery experience with the R-Undelete file recovery tool. ![]() We've actually tried to simplify the software interface as much as possible and have included a detailed online help and manual with the product. Some of R-Studio's features were even designed exclusively for computer forensic experts, and most R-Studio users don't need every single feature of the software.īecause of the many features presented in R-Studio, there may be inexperienced users who find its interface and abundant functionality a bit confusing. ![]() The R-Studio data recovery software was originally developed for use by data recovery experts, system administrators, IT professionals, and advanced and experienced computer users. ![]() Often our prospective customers ask us: What makes R-Studio better than other data recovery utilities? Why is R-Studio called "cost-effective" when some alternative file recovery products actually cost less? Is R-Studio more powerful than other tools? Why does R-Studio seem more complicated than some other tools?
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