Big data infrastructure is an embarrassment of riches these days. While we once subsisted on batch-oriented #Hadoop, today we have #Spark, #Storm, #Kafka, and a blistering array of incredible tooling for any use case an enterprise could imagine. All of it free. All of it open source.
Among this big data elite is Apache Spark, themost active big data development community in the world. Given Spark's prominence, it seems like a quixotic task to unseat it.
Yet, that is exactly what #Concord.io, a distributed stream processing framework built on top of #Apache #Mesos, hopes to do. Not only does Concord fill in blanks left by Spark (event-based or low-latency streaming) and Storm (difficult to scale), but it also puts a premium on developer efficiency, automating the provisioning and management of servers when scaling applications.
Will it be enough?
http://www.techrepublic.com/article/could-concord-topple-apache-spark-from-its-big-data-throne/
No comments:
Post a Comment