One of the mentioned examples sounds like the compressor is taking advantage of the SDDL by treating row-oriented data as stripes of column-oriented data, and then compressing that. This makes me curious - for data that’s already column-oriented like Parquet, what’s the advantage of OpenZL over zstd?
SDDL (and the front-end task of reshaping data in general) is only one component of OpenZL. Once you have the streams, you can do all sorts of transformations to them that Zstd doesn't.
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One of the mentioned examples sounds like the compressor is taking advantage of the SDDL by treating row-oriented data as stripes of column-oriented data, and then compressing that. This makes me curious - for data that’s already column-oriented like Parquet, what’s the advantage of OpenZL over zstd?
SDDL (and the front-end task of reshaping data in general) is only one component of OpenZL. Once you have the streams, you can do all sorts of transformations to them that Zstd doesn't.