It is being used to help our clients visualize their usage data from different angles. It is being used by a handful of people across the organization. It helps expose our big data hosted on Cloudera clusters to display them in a unique way.
Because our back end is hosted on Cloudera clusters and the amount of data is huge, using it to perform the extract was not performant. Also since the data is so big, the performance of the reports were very slow. We opted to use Impala to connect live to the data. That sort of improved the situation.