As the title says I am in search for a good, defined as the best available, general-purpose command-line compression program with good integrity check in Linux.

These archives will be used for long term storage

on Blu-ray M-Discs; details on used hardware.


  • the better in-built integrity check, the better software for my archiving purposes

  • must be open-source

  • preferably available in packaged form in most distributions, or better = installed by default

  • adjustable compression ratio, while using up to 10GB RAM when compressing

  • should be multi-threaded as I have 8 core CPU

  • Should the integrity check only be a check (for instance including a MD5 in the filename), or should it attempt correction?
    – Nicolas Raoul
    Jun 27, 2018 at 12:23
  • @NicolasRaoul If I understand your question correctly, it would be nice to have the option to attempt recovery. Jun 27, 2018 at 12:29
  • checking file integrity and changing compression ratio are the most basic things that all archiving tools must have
    – phuclv
    Jun 27, 2018 at 15:02
  • @phuclv I agree, but this question is to what degree certain tools have it. Jun 27, 2018 at 15:03

1 Answer 1


After reading a lot of manual pages, I can recommend the following:

xz (man page)

As it has in-built integrity check adjustable to SHA-256 using the following switch:


Further bonuses:

  • You may specify the number of CPU threads using the following switch:

  • The default compression level switch is set to 6, you may change that to the maximum with:

  • It implements a maximum effort algorithm using the following switch, though it is rather slow:


You can easily define an alias of whatever combination you choose.


I will add to this section sequentially what I have tested out.

  1. xz (multi-threading + SHA-256 + level 9 + extreme)

    alias xz-extreme='xz --format=xz --check=sha256 -9 --threads=8 --keep --verbose --verbose --extreme'

    With this command the compression took almost 25 minutes and resulted in 0.772 ratio.

    $ xz-extreme data.tar
    7,991.0 MiB / 10.1 GiB = 0.772   7.0 MiB/s      24:28
  2. xz (multi-threading + CRC-32 + default level 6)

    alias xz='xz --format=xz --threads=8 --keep --verbose --verbose'

    With this command the compression took less than 15 minutes and resulted in 0.786 ratio (+138 MiB).

    $ xz data.tar
    8,129.8 MiB / 10.1 GiB = 0.786    12 MiB/s      14:15

bzip2 (man page)

In contrast to xz, due to its single-threaded nature, the same file with the command:

$ bzip2 --keep -9 --verbose data.tar

data.tar:  1.244:1,  6.430 bits/byte, 19.63% saved, 10848870400 in, 8719149908 out.

Took exactly 27 minutes while achieving 0.803 ratio (+324MiB).

Short data analysis of the presented data set

  • Further un-compressible files 4.3 GiB (like RAR or 7-Zip on max compression).

  • Image (JPEG) files 2 GiB.

  • Windows executable installers (means also compressed) 0.8 GiB.

  • Only the remaining 3 GiB were more or less well compressible files.

Different data set

  • about a 100,000 code files (highly compressible data)

  • some PDFs containing JPEG images of text (rather un-compressible)

Interesting results summary

  1. 4.5G code_and_some_books.tar
  2. 2.3G code_and_some_books.tar.gz (-9)
  3. 2.1G code_and_some_books.tar.bz2 (-9)
  4. 1.6G code_and_some_books.tar.xz (the above xz-extreme alias used)
  • I've tried it on 6.1MB plain text files on a dual-core machine. tar -cf zzz.tar * && bzip2 -9 zzz.tar took 1.5s and resulted in a 968k file, while the same with xz using your options took 11s and resulted in an 863k file. So xz took 7 times as long while offering about 11% better compression with that input. My conclusion: if in a frequent process I want to (temporarily) save some space, I'd rather go with bzip2 – while for long-time archival, xz might be the better choice. Though this conclusion is based on too little data :)
    – Izzy
    Jun 27, 2018 at 14:23
  • Thanks a lot for the effort you took (upvoted now). I leave my corrected comment above for an additional example. In everyday life most of us rarely compress such huge amounts as you just did :)
    – Izzy
    Jun 27, 2018 at 16:12

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