Data Compression in Cloud Website Hosting
The cloud web hosting platform where your cloud website hosting account shall be generated employs the revolutionary ZFS file system. The LZ4 compression method which the aforementioned uses is superior in numerous aspects, and not only does it compress info better than any compression method that some other file systems use, but it's also a lot quicker. The gains will be significant in particular on compressible content such as website files. Despite the fact that it could sound irrational, uncompressing data with LZ4 is faster than reading uncompressed info from a hard disk, so the performance of every Internet site hosted on our servers will be upgraded. The better and quicker compression rates also allow us to make a number of daily backups of the entire content in every single Internet hosting account, so in the event you delete something by mistake, the last back-up copy which we have will not be more than a few hours old. This can be done as the backups take significantly less space and their generation is quick enough, to not change the performance of the servers.
Data Compression in Semi-dedicated Servers
Your semi-dedicated server account will be created on a cloud platform which runs on the innovative ZFS file system. The latter uses a compression algorithm known as LZ4, which is a lot better than other algorithms with regard to compression ratio and speed. The gain is visible especially when data is being uncompressed and not only is LZ4 much quicker than other algorithms, but it is also quicker in uncompressing data than a system is in reading from a HDD. This is the reason why sites running on a platform that employs LZ4 compression perform faster since the algorithm is most efficient when it processes compressible data i.e. site content. An additional advantage of using LZ4 is that the backup copies of the semi-dedicated accounts which we keep require a lot less space and they are generated faster, which enables us to have several daily backups of your files and databases.