Data Compression in Shared Web Hosting
The cloud web hosting platform where your shared web hosting account is made works by using the reliable ZFS file system. The LZ4 compression method that the aforementioned uses is greater in a number of aspects, and not only does it compress information better than any compression method that a variety of other file systems use, but it is also much quicker. The gains may be significant in particular on compressible content such as website files. Despite the fact that it could sound illogical, uncompressing data with LZ4 is faster than reading uncompressed data from a hard drive, so the performance of each website hosted on our servers will be enhanced. The better and quicker compression rates also make it possible for us to make a large number of daily backups of the whole content in each hosting account, so in the event you delete anything by mistake, the last backup which we have won't be more than a few hours old. This can be done because the backups take a lot less space and their generation is fast enough, so as to not change the performance of our servers.
Data Compression in Semi-dedicated Servers
Your semi-dedicated server account will be created on a cloud platform which runs on the state-of-the-art ZFS file system. The aforementioned uses a compression algorithm called LZ4, that's much better than various other algorithms with regard to compression ratio and speed. The gain is noticeable particularly when data is being uncompressed and not only is LZ4 much quicker than other algorithms, but it is also faster in uncompressing data than a system is in reading from a hard disk. That is why sites running on a platform that employs LZ4 compression perform better because the algorithm is most efficient when it processes compressible data i.e. website content. Another advantage of using LZ4 is that the backups of the semi-dedicated accounts that we keep need much less space and they are generated quicker, which enables us to have multiple daily backups of all your files and databases.