Data Compression in Website Hosting
The ZFS file system that runs on our cloud Internet hosting platform employs a compression algorithm called LZ4. The latter is significantly faster and better than every other algorithm you can find, particularly for compressing and uncompressing non-binary data i.e. web content. LZ4 even uncompresses data quicker than it is read from a hard disk drive, which improves the performance of websites hosted on ZFS-based platforms. As the algorithm compresses data very well and it does that quickly, we're able to generate several backups of all the content stored in the website hosting accounts on our servers every day. Both your content and its backups will need less space and since both ZFS and LZ4 work very quickly, the backup generation will not change the performance of the web servers where your content will be kept.
Data Compression in Semi-dedicated Servers
The semi-dedicated server plans that we supply are created on a powerful cloud hosting platform which runs on the ZFS file system. ZFS employs a compression algorithm called LZ4 that exceeds any other algorithm available in terms of speed and compression ratio when it comes to processing website content. This is valid especially when data is uncompressed because LZ4 does that a lot faster than it would be to read uncompressed data from a hard drive and because of this, sites running on a platform where LZ4 is enabled will work faster. We are able to take full advantage of this feature although it needs quite a large amount of CPU processing time because our platform uses numerous powerful servers working together and we don't make accounts on a single machine like the majority of companies do. There is another advantage of using LZ4 - considering the fact that it compresses data really well and does that speedily, we can also generate several daily backup copies of all accounts without influencing the performance of the servers and keep them for 30 days. This way, you will always be able to recover any content that you delete by mistake.