The term data compression identifies lowering the number of bits of info which should be stored or transmitted. This can be done with or without losing info, which means that what will be removed in the course of the compression will be either redundant data or unneeded one. When the data is uncompressed later on, in the first case the data and its quality will be the same, while in the second case the quality will be worse. You will find various compression algorithms which are more effective for various type of info. Compressing and uncompressing data usually takes plenty of processing time, which means that the server carrying out the action should have adequate resources in order to be able to process your info quick enough. A simple example how information can be compressed is to store how many consecutive positions should have 1 and how many should have 0 within the binary code instead of storing the actual 1s and 0s.

Data Compression in Semi-dedicated Hosting

Your semi-dedicated hosting account will be created on a cloud platform which is run on the innovative ZFS file system. The aforementioned uses a compression algorithm known as LZ4, that is far better than all the other algorithms regarding compression ratio and speed. The gain is visible particularly when data is being uncompressed and not only is LZ4 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 websites running on a platform that uses LZ4 compression perform better because the algorithm is most effective when it processes compressible data i.e. site content. Another advantage of using LZ4 is that the backups of the semi-dedicated accounts which we keep require significantly less space and they're generated faster, which allows us to store a number of daily backups of your files and databases.