LZ4

LZ4

LZ4 is a lossless compression algorithm that focuses on compression and decompression speed. It allows fast data compression and real-time decompression. LZ4 is open-source and cross-platform compatible.
LZ4 image
lossless fast compression decompression opensource crossplatform

LZ4: Fast Lossless Compressions

A high-performance lossless compression algorithm for fast data compression and real-time decompression, with open-source and cross-platform compatibility

What is LZ4?

LZ4 is an extremely fast lossless compression algorithm created by Yann Collet. It prioritizes compression and decompression speed over the compression ratio, making it well-suited for applications that require fast data access and real-time compression/decompression.

Some key features of LZ4 include:

  • Extremely fast compression and decompression speeds, faster than other algorithms like DEFLATE or Brotli
  • Reasonably good compression ratios, although not as high as Zstandard or Brotli
  • Very memory efficient during compression and decompression
  • Highly portable and cross-platform compatible - works on everything from embedded devices to high-end servers
  • Open-source and royalty-free, published under BSD license

LZ4 is commonly used for applications like databases and analytics that need to perform compression but require very fast access to data. It strikes a good balance between compression speed and ratio for these use cases. Key advantages over Brotli and Zstandard are its decompression speed and low memory requirements.

Overall, LZ4 is an excellent choice when you need lightweight real-time compression and fast decompression speeds for your application data.

LZ4 Features

Features

  1. Very fast compression and decompression
  2. Lossless data compression
  3. Open source and cross-platform compatible
  4. Focuses on speed over compression ratio
  5. Used for real-time data streaming

Pricing

  • Open Source

Pros

Extremely fast compression and decompression speeds

Maintains original data integrity

Widely supported across platforms and languages

Easy to integrate into applications

Good for compressing data on the fly

Cons

Lower compression ratio than other algorithms

Not optimal for offline compression of static data

Requires more storage space than other compressors

Not designed for highest compression density


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