What types of workloads do you support?

Molecula was initially designed to solve an ad hoc machine-scale analytics and ML use cases that queried high cardinality data and allowed users to drill down into and predict granular audience attributes in real-time. However, today we have also added support for highly performant queries on dense and mixed density datasets. The workloads where we add the greatest value are the complex analytical ones where source data is fragmented across silos and where a user or machine wants to apply a number of filters or criteria to a query that will return a subset of that data to take a business action on. Molecula is not designed to be a transactional system, a system of record or to fulfill single record queries (e.g. show me Tom’s record), as other database types are optimized to persist and return these queries effectively.