We have Data heavy products

Typical use case:

Filtering billions of 'docs' or rows across 50 attributes in any number of combinations

A doc holds data on the techstack of a url - For one of the products. Ever evolving schema (hence why we picked Mongo)

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Number of queries are low but the complexity of the queries are high

We've moved object storage from JSON to Parquet already before uploading to Mongo so that's already 1/4th the object storage

Question if something can match the querying performance of Mongo but has better storage efficiency