Apache Druid is a real-time analytics database that bridges the possibility of persisting large amounts of data with that of being able to extract information from it without having to wait unreasonable amounts of time.<\/p>\n
Although at the time of writing this article the most recent stable version of Druid is 0.19.0, it seems to have garnered quite the attention of both small and high-profile companies<\/a>. This is most likely because of the fact that Druid keeps its promise in terms of performance, achieving speeds around 100 times higher<\/a>\u00a0during the Star Schema Benchmark<\/a>\u00a0than current well-known database solutions like Hive and Presto.<\/p>\n Since it shows such promise it is the goal of this article to shortly explain some of the mechanisms by which data arrives in the Druid ecosystem and how it is delivered for consumption in order to provide some operational insight.<\/p>\n <\/p>\n<\/div>