Multidimensional calculations typically require a lot of aggregation, rotations (pivots) and joins. Mongo is good for store-and-retrieve, and aggregation along

Multidimensional calculations typically require a lot of aggregation, rotations (pivots) and joins. Mongo is good for store-and-retrieve, and aggregation along a single dimension, and not as strong at the operations mentioned above. Have you benchmarked Mongo against a relational db for analytic operations on a multidimensional model? The results could be interesting and perhaps different from what you would expect.[1] Many new OLAP products are implemented on pure relational databases for performance reasons. Some databases with columnar indices are even faster for OLAP type operations. [1] That said, Mongo could be a good choice for latency reasons. If your spreadsheet is doing lots of small calculations, then it makes sense to use something that can return results quickly.