Hortonworks’ Scott Gnau talks about Apache Spark vs. Hadoop and data in motion.
Hortonworks has built its business on big data and Hadoop, but the Hortonworks Data Platform provides analytics and features support for a range of technologies beyond Hadoop, including MapReduce, Pig, Hive, and Spark. Hortonworks DataFlow, meanwhile, offers streaming analytics and uses technologies like Apache Nifi and Kafka.
InfoWorld Executive Editor Doug Dineley and Editor at Large Paul Krill recently spoke with Hortonworks CTO Scott Gnau about how the company sees the data business shaking out, the Spark vs. Hadoop face-off, and Hortonworks’ release strategy and efforts to build out the DataFlow platform for data in motion.
Read more at NetworkWorld
