Prosoft Engineering recently provided me with a review copy of Data Rescue 5 that the software company is scheduled to release to the public on Oct 3rd. Data Rescue 5 will be available as separate versions for Macs and Windows PCs. For purposes of my quick review, I chose to install and test the Mac release of Data Rescue 5.
Because of other projects that I need to finish by a specific deadline, I limited my review to a common data recovery task that I could conduct easily without any reconfiguration of my Mac.
To test Data Rescue’s file recovery capability, I selected a 4.7 gb disk image that I use to store a variety of file types that change over time. I assigned my computer’s Shared folder to store the files that Data Rescue 5 recovered.
1. After serializing Data Rescue 5, I was presented with the Scan Source menu where I chose the volume that I wanted to recover data from. I selected eNew, the name of my disk image that I had previously mounted on my desktop.
2. After clicking the Next button located at the bottom right corner of the dialog box, I was given the option to choose either Quick Scan or Deep Scan. To compare the results between the two options, I initially chose Quick Scan.
3. Data Rescue immediately brought up an alphabetical listing of documents that it displayed in a folder called Found Files. I scrolled through the list and noted that they all were files that I could see from the Finder and none represented lost or deleted documents.
4. Next, I clicked on the Deep Scan icon. After running for 6 minutes, Data Rescue completed my processing job and displayed a second folder below Found Files that it called Reconstructed Files. The folders listed under Reconstructed Files were displayed in alphabetical order and were named according to file type, such as Audio, Images, and Mail. For purposes of my test, I chose to recover any audio files and two types of images that I work with on a regular basis: JPEG and TIF.
Audio: A single mp3 file was recovered that was a little less than 9 minutes in length. The file was playable in its entirety without any noise artifacts that I would have heard if it had been overwritten.
JPEG: Sixteen images were found, ranging in size from 2 to 480 kb. Three of the files were corrupted and could not be viewed correctly in their original form, while the rest were undamaged.
TIF: Twenty-eight TIF images were recovered, ranging in size from 164 bytes to 16.2 mb. Three of the smallest TIF files were unreadable or corrupted after recovery, while the rest were fine.
Finally, a cryptic but harmless message that didn’t affect my ability to run the program was this line of text that appeared in my Console log:
Sep 27 16:17:29 Data Rescue: assertion failed: 16G29: libxpc.dylib + 74307 [BF896DF0-D8E9-31A8-A4B3-01120BFEEE52]: 0x89
Stack Overflow posted a report entitled “assertion failed” warnings, assuring me that ibxpc.dylib is a normal assertion that occurs with many different tool chains.
Running Data Rescue 5 is straightforward and not difficult. What impressed me the most about the software is the speed in which it can process data. Granted, I didn’t test the program against a damaged volume, or a large virtual machine image such as those that I run under Parallels 13 or VirtualBox, or an external drive of significant size. Those devices would obviously require significantly more time to generate results.
Data Rescue 5 is supported on the following platforms:
Windows 7/8/8.1/10 or later, or macOS 10.10 or later
If you are running macOS 10.8 or 10.9, you will need to install the current release, Data Rescue 4, which is priced at $79.