The term data compression means decreasing the number of bits of info which should be saved or transmitted. You can do this with or without the loss of data, which means that what will be erased throughout the compression will be either redundant data or unneeded one. When the data is uncompressed later on, in the first case the content and its quality shall be the same, whereas in the second case the quality shall be worse. You'll find various compression algorithms that are more efficient for various kind of data. Compressing and uncompressing data frequently takes a lot of processing time, so the server performing the action should have plenty of resources in order to be able to process the data fast enough. An example how information can be compressed is to store just how many sequential positions should have 1 and how many should have 0 within the binary code as an alternative to storing the particular 1s and 0s.

Data Compression in Semi-dedicated Hosting

Your semi-dedicated hosting account shall be created on a cloud platform that is run on the innovative ZFS file system. The aforementioned uses a compression algorithm known as LZ4, that's a lot better than alternative algorithms with regard to compression ratio and speed. The gain is significant particularly 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. This is why Internet sites running on a platform that employs LZ4 compression perform better since the algorithm is most effective when it processes compressible data i.e. web content. A further advantage of using LZ4 is that the backup copies of the semi-dedicated accounts that we keep take significantly less space and are generated a lot quicker, which enables us to store a couple of daily backups of your files and databases.