The term data compression refers to lowering the number of bits of information which should be saved or transmitted. This can be done with or without losing data, which means that what will be removed throughout the compression will be either redundant data or unneeded one. When the data is uncompressed subsequently, in the first case the information and the quality shall be identical, while in the second case the quality will be worse. You will find various compression algorithms which are more efficient for various sort of information. Compressing and uncompressing data frequently takes a lot of processing time, so the server performing the action needs to have sufficient resources to be able to process your data fast enough. A simple example how information can be compressed is to store just how many consecutive positions should have 1 and how many should have 0 in the binary code instead of storing the particular 1s and 0s.

Data Compression in Website Hosting

The cloud web hosting platform where your website hosting account is made employs the reliable ZFS file system. The LZ4 compression method that the latter employs is superior in many aspects, and not only does it compress information better than any compression method which a number of other file systems use, but it's also quicker. The gains will be significant particularly on compressible content like website files. Despite the fact that it may sound irrational, uncompressing data with LZ4 is quicker than reading uncompressed info from a hard drive, so the performance of each and every website hosted on our servers will be upgraded. The better and quicker compression rates also make it possible for us to produce a large number of daily backups of the entire content in each web hosting account, so in the event you delete anything by accident, the last backup which we have will not be more than a few hours old. This can be done as the backups take considerably less space and their generation is quick enough, so as to not affect the performance of the servers.