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Sorting, compression algorithm +level, and data types can all have an impact. I noted elsewhere that a Boolean is getting represented as an integer. That’s one bit vs 1-4 bytes.

There is also flexibility in what you define as the dataset. Skinnier, but more focused tables could be space saving vs a wide table that covers everything -will probably break compressible runs of data.

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Parquet has a few compression option. Not sure which one they are using.
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Plus isn't the least wasteful format, native duckdb for instance compacts better. That's not just down to the compression algorithm, which as you say got three main options for parquet.
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.. and Remove all the political shit-slop since COVID/AI and it's probably under a gig.
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