Based on what I can gather from the data model, this would be great for categorical type data where there are a limited amount of categories for each event? Would this be fast for querying quantitative data where values might be unique?
Pilosa was built for high cardinality data, so queries on unique numeric values would still be fast. Translating quantitative data to a categorical form fits Pilosa’s data model better, so the index would be more powerful. We have explored a few basic techniques for this, which you can read about here: https://www.pilosa.com/use-cases/taming-transportation-data/
