Data Compression in Shared Website Hosting
The ZFS file system which is run on our cloud Internet hosting platform uses a compression algorithm called LZ4. The aforementioned is considerably faster and better than every other algorithm on the market, especially for compressing and uncompressing non-binary data i.e. web content. LZ4 even uncompresses data faster than it is read from a hard drive, which improves the overall performance of sites hosted on ZFS-based platforms. Since the algorithm compresses data very well and it does that quickly, we can generate several backups of all the content stored in the shared website hosting accounts on our servers every day. Both your content and its backups will take less space and since both ZFS and LZ4 work very fast, the backup generation will not affect the performance of the web servers where your content will be kept.
Data Compression in Semi-dedicated Hosting
The semi-dedicated hosting plans that we supply are created on a powerful cloud hosting platform which runs on the ZFS file system. ZFS employs a compression algorithm named LZ4 that exceeds any other algorithm out there in terms of speed and compression ratio when it comes to processing web content. This is valid especially when data is uncompressed because LZ4 does that faster than it would be to read uncompressed data from a hard drive and owing to this, sites running on a platform where LZ4 is enabled will work quicker. We are able to take advantage of this feature regardless of the fact that it requires quite a great deal of CPU processing time as our platform uses a number of powerful servers working together and we do not create accounts on a single machine like a lot of companies do. There is a further reward of using LZ4 - considering that it compresses data very well and does that speedily, we can also make multiple daily backup copies of all accounts without affecting the performance of the servers and keep them for 30 days. In this way, you will always be able to recover any content that you erase by mistake.