Dokan Alternatives

    Dokan is described as 'When you want to create a new file system on Windows, for example to improve FAT or NTFS, you need to develop a file system driver. Developing a device driver that works in kernel mode on windows is extremely difficult' and is an app in the OS & Utilities category. There are seven alternatives to Dokan for Windows, Linux, Mac and BSD. The best alternative is ImDisk Virtual Disk Driver, which is both free and Open Source. Other great apps like Dokan are WinFsp (Free, Open Source), macFUSE (Free), BeeGFS (Free) and CBFS Connect (Paid).

    This page was last updated Jan 6, 2021

    1. ImDisk is a virtual disk driver for Windows NT/2000/XP/Vista/7/8/8.1 or Windows Server 2003/2008/2012. It can create virtual hard disk, RAM Disk, floppy or CD/DVD drives using image files or system memory. The install package installs a console-mode control program called imdisk.
      • FreeOpen Source
      • Windows
      WinFsp, Windows File System Proxy, is a set of software components for Windows computers that allows the creation of user mode file systems. In this sense it is similar to FUSE (Filesystem in Userspace), which provides the same functionality on UNIX-like computers.
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    2. Features : As a user, installing the macFUSE software package will let you use any third-party FUSE file system. Legacy MacFUSE file systems are supported through the optional MacFUSE compatibility layer.
    3. BeeGFS (formerly FhGFS) is the leading parallel cluster file system, developed with a strong focus on performance and designed for very easy installation and management.
    4. CBFS Connect allows you to present any data source as a fully-featured Windows filesystem—be it database records, local or remote files, dynamically-generated content, or anything in-between.

      • FreeOpen Source
      • Mac
      Filesystem in userspace implementation for MaxOSX


      Fuse4X has been merged to OSXFUSE project.

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      • FreeOpen Source
      • Linux
      Lustre is a massively parallel filesystem designed for high-performance, large-scale data.
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