Difference between revisions of "Data compression algorithms and tools"
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* kgb -m file.kgb originalfile | * kgb -m file.kgb originalfile | ||
* m is a number from 0 to 9 (lowest compression ratio from higher; higher use 1616 MB of RAM, a lot of CPU and time) | * m is a number from 0 to 9 (lowest compression ratio from higher; higher use 1616 MB of RAM, a lot of CPU and time) | ||
== lrzip == | |||
"This is a compression program optimised for large files" -[http://ck.kolivas.org/apps/lrzip/README lrzip readme ] | |||
lrzip is fantastic for archiving - the compression ratio '''improves''' as the size of the input file grows - albeit a '''''terribly''''' slow compressor. lrzip really shines when compressing large sets of redundant information - but distant, and otherwise unconnected. General purpose compression algorithms would never see this, given their tiny compression window. | |||
[http://ck.kolivas.org/apps/lrzip/README.benchmarks lrzip benchmarks ] | |||
== External links == | == External links == | ||
Revision as of 03:45, 7 May 2013
This list contains the most popular data compression algorithms and tools. Mos of them are open source, an important detail if you want to preserve data for a long time from now and to be able to decompress the data in the future.
7z
Bzip2
Gzip
Zip
- Available by default in any Windows version available today, but if you need cross-platform, use 7-zip.
KGB
The best compression ratio (better than 7z), but a bit slow.
You can install it in Ubuntu with: sudo apt-get install kgb
How to:
- kgb -m file.kgb originalfile
- m is a number from 0 to 9 (lowest compression ratio from higher; higher use 1616 MB of RAM, a lot of CPU and time)
lrzip
"This is a compression program optimised for large files" -lrzip readme
lrzip is fantastic for archiving - the compression ratio improves as the size of the input file grows - albeit a terribly slow compressor. lrzip really shines when compressing large sets of redundant information - but distant, and otherwise unconnected. General purpose compression algorithms would never see this, given their tiny compression window.