Introducing OpenZL: An Open Source Format-Aware Compression Framework

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This post introduces OpenZL, an open-source format-aware compression framework designed for structured data. It aims to provide the performance of specialized compressors with the maintenance simplicity of a single binary. OpenZL achieves this by applying a configurable sequence of transforms to reveal patterns in structured data before compression, offering significant improvements in compression ratio and speed compared to generic compressors like Zstandard and xz, especially for structured datasets. It also introduces a trainer component for automatically generating optimal compression configurations and a universal decoder that remains consistent even as compression plans evolve.