The list of companies using Druid in production is impressive considering how recently this project emerged. We’re considering using Druid for our production analytics engine at Tapad (tapad.com). A significant portion of our ad-hoc and user-facing analytics applications involve large, multi-dimensional aggregates over ad impression/click streams, so Druid’s an obvious choice.

So far, mysterious failures when indexing have been major pain point. These seem to be especially problematic with high cardinality dimensions. Has anyone run into similar issues and/or other weird quirks in production? What about real-time avro ingestion?

Best of luck to the Imply team with this project. Whether we end up using it or not, I have no doubt that the Druid + Pivot stack will be a popular choice for folks building analytics products on large datasets.