Data Compression in Cloud Website Hosting
The cloud hosting platform where your cloud website hosting account is created works by using the revolutionary ZFS file system. The LZ4 compression method that the aforementioned employs is greater in various aspects, and not only does it compress information better than any compression method which many other file systems use, but it's also much faster. The gains may be significant particularly on compressible content like website files. Even though it may sound illogical, uncompressing data with LZ4 is quicker than reading uncompressed info from a hard disk drive, so the performance of any website hosted on our servers will be boosted. The better and quicker compression rates also make it possible for us to produce multiple daily backups of the entire content in every single web hosting account, so should you delete something by mistake, the last backup which we have won't be more than a couple of hours old. This can be done because the backups take considerably less space and their generation is fast enough, so as to not affect the performance of our servers.
Data Compression in Semi-dedicated Hosting
Your semi-dedicated hosting account shall be created on a cloud platform that runs using the cutting-edge ZFS file system. The aforementioned uses a compression algorithm called LZ4, which is significantly better than alternative algorithms regarding compression ratio and speed. The gain is significant especially when data is being uncompressed and not only is LZ4 a lot faster than other algorithms, but it is also quicker in uncompressing data than a system is in reading from a HDD. That is why sites running on a platform which employs LZ4 compression perform better since the algorithm is most efficient when it processes compressible data i.e. site content. An additional advantage of using LZ4 is that the backups of the semi-dedicated accounts which we keep need a lot less space and they're generated faster, which allows us to store a number of daily backups of your files and databases.