Spark Streaming vs. Storm Streaming

Overview – Both Storm and Spark Streaming are open-source frameworks for distributed stream processing. But, there are important differences. Processing Model, Latency – Although both frameworks provide scalability and fault tolerance, they differ fundamentally in their processing model. Storm processes incoming events one at a time, Spark Streaming batches up events that arrive within a short time…

SparkPedia

History of Spark Genesis 1956-1979: Stanford, MIT, CMU develop set/list operations in LISP, Prolog, and other languages for parallel processing (see). Circa 2004: Google: MapReduce: Simplified Data Processing on Large Clusters by Jeffrey Dean and Sanjay Ghemawat Circa 2006: Apache Hadoop, originating from the Yahoo!’s Nutch Project Doug Cutting Circa 2008: Yahoo! web scale search indexing –…