There is no real contest when it comes to speed. LZ4's compression and decompression speeds are an . As shown in the table above, gzip compresses at a mere 105 MB/s and decompresses at 390 MB/s. LZ4 is 6-7x faster at compressing and nearly 10x faster at decompressing . The only reason to use gzip is when you require its superior compression ratio and cannot store the larger files produced by LZ4.
You can download the latest LZ4 v1.8.3 win64 release, typically found on the official LZ4 GitHub Releases page .
LZ4 belongs to the LZ77 family of byte-oriented compression algorithms, but it strips away complex entropy coding stages (like Huffman coding) to minimize CPU overhead. 1. The Token and Literal System lz4 v183 win64
: Fully handles real-time data streams without bottlenecking the input pipeline. Architectural Deep Dive: How LZ4 Achieves Breakneck Speed
While the LZ4 project has moved on to newer versions like 1.10.0, version 1.8.3 holds a specific place in the timeline as a critical bugfix release. It was built upon the foundation of the v1.8.x series, which introduced performance improvements in decompression speed compared to earlier versions like v1.7.3. There is no real contest when it comes to speed
The algorithm operates by representing data as a series of sequences. Each sequence begins with a token that indicates the number of literal bytes to copy and the length of a match to reference from the already processed output. For longer runs, extra bytes are added to the sequence to describe the full length. This can be done either in a stream or in blocks, and higher compression ratios can be achieved by investing more effort in finding the best matches.
I can adjust the content to be more or less technical based on your audience. LZ4 is 6-7x faster at compressing and nearly
Returns exit code 0 if OK.
Windows event logs, database transaction logs, and server metrics can be compressed on the fly before writing to disk, saving storage space without causing CPU bottlenecks.
Despite its age, the LZ4 algorithm is embedded in countless modern technologies. Its speed makes it the default or recommended choice for a wide range of performance-critical applications:
For developers integrating LZ4 into their applications, v1.8.3 included a valuable API improvement. The LZ4_decompress_safe_partial() function was enhanced to decode exactly the number of bytes requested (#566). This provides finer control over memory and data handling, a critical feature for embedded systems and high-performance applications.