Fast data made easy with Apache Kafka and Apache Kudu (incubating)

Historically, use cases such as time series and mutable-profile datasets have been possible but difficult to achieve efficiently using traditional HDFS storage engines. These solutions might involve complex ingestion paths, deep understanding of file types, and compaction strategies. With the introduction of Kudu, many of these difficulties are eliminated. At the same time, interest in streaming solutions and low-latency analytics has surged with the growing popularity of tools like Apache Kafka. (From Strata + Hadoop World San Jose 2016)