Compression

Best Linux Multi-Core Compression Tools

Last Updated on May 23, 2022

With Default Compression

Default compression refers to running the compression tool without any compression flag being applied.

Multi-core compression

pigz compressed our 537MB tarball on our quad-core machine in the quickest time of all the tools, completing the test in a swift 4 seconds. To put the result into some context, we also ran the same test using gzip, which compressed the file in 14.7 seconds. pigz therefore fell a bit short of being 4x quicker.

You’ll notice lbzip2 and pbzip2 bars are colored red. This is because these tools use the best compression as their default.

Multi-core compression

pigz compressed the 537MB tarball down to 110MB. lrzip offers the best compression ratio for the tarball, squeezing it down to a frugal 64MB, although there isn’t much difference between lrzip, pxz, pixz, or plzip.

Again lbzip2 and pbzip2 bars are colored red. This is because these tools use the best compression as their default.

Next page: Page 3 – Charts with Fastest Compression

Pages in this article:
Page 1 – Introduction
Page 2 – Charts with Default Compression
Page 3 – Charts with Fastest Compression
Page 4 – Charts with Best Compression
Page 5 – lrzip with Different Compression Methods

Methodology used for the tests

We took a 537MB tarball of a popular source package. The tarball was copied to RAM (/dev/shm), and the tests ran in RAM on a quad-core CPU without hyper-threading (Core i5-2500K), with no X server running, and under negligible load.

Each test was run three times with the latest version (at the time of writing) of each multi-core compression tool. The average results are recorded in the charts above. The tests show the relative difference between the multi-core compression tools. They are for indicative purposes only.


Learn more about the features offered by the multi-core compression tool. We’ve compiled a dedicated page for each tool explaining, in detail, the features they offer.

Multi-Core Compression Tools
ZstandardFast compression algorithm, providing high compression ratios
pigzParallel implementation of gzip. It's a fully functional replacement for gzip
pixzParallel indexing XZ compression, fully compatible with XZ. LZMA and LZMA2
PBZIP2Parallel implementation of the bzip2 block-sorting file compressor
lrzipCompression utility that excels at compressing large files
lbzip2Parallel bzip2 compression utility, suited for serial and parallel processing
plzipMassively parallel (multi-threaded) lossless data compressor based on lzlib
PXZRuns LZMA compression on multiple cores and processors
crabzLike pigz but written in Rust
Best Free and Open Source SoftwareRead our complete collection of recommended free and open source software. Our curated compilation covers all categories of software.

The software collection forms part of our series of informative articles for Linux enthusiasts. There are hundreds of in-depth reviews, open source alternatives to proprietary software from large corporations like Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk.

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6 Comments
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Andy Turfer
Andy Turfer
4 years ago

Thank you so much! I’m going to try out some of these.

Michael D
Michael D
3 years ago

Some comparison between them would be very usefull

Mark
Mark
3 years ago

I did a similar study a few years ago and ended up using pbzip2 as my go-to compression utility.

The main reason is that it can do multi-core de-compression as well, unlike pigz.

The compression algorithm is fairly slow, so it works best when you have 30+ cores to throw at it.

Keep in mind that to use pbzip2 to de-compress with multiple cores, you need to compress with pbzip2 first. It adds some hints to the file to let the decompression know how to split up the work properly.

coucou
coucou
11 months ago
Reply to  Mark

Seems you brought me a solution, thanks !
Do you know if initramfs is using a single threaded kernel bzip2 routine or my /bin/pbzip2 for decompression at runtime ?

Cordialement.

coucou
coucou
11 months ago

Multicore compression : great ! But … all decompressions are done on a SINGLE core ! Why ?
I tried option to select the number of threads but in vain.

Any idea to do multicore decompression ?

Cordialement.

One sided Multicore

rick
rick
7 days ago

Do you know zpaqfranz?

Thanks.