MongoDB and OLAP

Question

data mining

Based on the available information about the company's clients, it is required to perform OLAP data processing, build reports, apply various data mining methods (build decision trees, implement clustering, etc.). I read about mongodb - it attracts with its simplicity, the ability to map / reduce (I think this will greatly facilitate the construction of all kinds of reports), scalability, but since I have never dealt with it, I ask for advice, is it worth using it for the required tasks?

Answer 1

At the moment, I have not found such tools for her (although I would not hurt either). If OLAP is important to you, you don't need mongo. Olap, by definition, is for structured data (description of dimensions, for example), while the main plus of mongi is its “dynamism”. Scaling, map-reduce is perfectly implemented with traditional SQL solutions.

Answer 2

eg: mdx on mongodb
i.e. you can use Pentho - but it's worth noting that in fact this is the ability to build analytical queries on MDX against the Mongo store. Performance is already a matter of research.
there is also exotic bime and others