The term data compression means reducing the number of bits of data that has to be stored or transmitted. This can be done with or without the loss of information, which means that what will be deleted throughout the compression can be either redundant data or unneeded one. When the data is uncompressed subsequently, in the first case the data and the quality shall be identical, while in the second case the quality will be worse. You will find different compression algorithms which are more effective for different sort of data. Compressing and uncompressing data normally takes a lot of processing time, therefore the server executing the action must have ample resources to be able to process the data fast enough. One simple example how information can be compressed is to store how many sequential positions should have 1 and just how many should have 0 inside the binary code rather than storing the actual 1s and 0s.

Data Compression in Semi-dedicated Servers

Your semi-dedicated server account will be created on a cloud platform which is run on the cutting-edge ZFS file system. The latter uses a compression algorithm known as LZ4, that's much better than all other algorithms regarding compression ratio and speed. The gain is significant especially when data is being uncompressed and not only is LZ4 much quicker than other algorithms, but it is also quicker in uncompressing data than a system is in reading from a hard drive. That is why Internet sites running on a platform which uses LZ4 compression perform faster as the algorithm is most effective when it processes compressible data i.e. web content. Another advantage of using LZ4 is that the backups of the semi-dedicated accounts which we keep need a lot less space and they are generated quicker, which allows us to store several daily backups of your files and databases.