The term data compression identifies lowering the number of bits of data that needs to be stored or transmitted. You can do this with or without the loss of data, which means that what will be removed throughout the compression can be either redundant data or unnecessary one. When the data is uncompressed later on, in the first case the data and its quality will be identical, while in the second case the quality will be worse. You can find various compression algorithms which are more efficient for various sort of info. Compressing and uncompressing data frequently takes plenty of processing time, so the server executing the action needs to have sufficient resources to be able to process the info fast enough. An example how information can be compressed is to store how many sequential positions should have 1 and how many should have 0 in the binary code instead of storing the actual 1s and 0s.

Data Compression in Semi-dedicated Servers

The ZFS file system which runs on the cloud platform where your semi-dedicated server account will be created uses a powerful compression algorithm called LZ4. It is among the best algorithms out there and definitely the best one when it comes to compressing and uncompressing web content, as its ratio is very high and it can uncompress data faster than the same data can be read from a hard disk drive if it were uncompressed. In this way, using LZ4 will accelerate every site that runs on a platform where this algorithm is present. This high performance requires a lot of CPU processing time, that is provided by the great number of clusters working together as part of our platform. What's more, LZ4 allows us to generate several backups of your content every day and save them for a month as they'll take a reduced amount of space than regular backups and will be generated considerably quicker without loading the servers.