Because Vector targets analytical workload, Vector stores tables in columnar model by default. However, if there exists an index where the key spans multiple attributes, these columns are grouped together and stored in the same block. User can instruct Vector to store data in n-ary model.
Dictionary Encoding Delta Encoding Run-Length Encoding Naïve (Page-Level) Bit Packing / Mostly Encoding
Vector compresses each column on a per-page basis for better compression performance. Thus different pages of the same column may be compressed using different algorithms. For the page-level naïve compression, Vector uses LZ4 to compress string values.
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Vectorwise, MonetDB/X100
Actian