I do not think so. Hadoop provides an ecosystem in which you can deploy different engines, such as MR, HBase, TEZ, Spark, Flink, titandb, hive, solr... I observe also that commercial analytical tools use one or more of these engines to execute their code in a distributed fashion. You need this flexibility to have an ecosystem suitable for your needs -especially In the area of security. HDFS is one key element for the storage and locality. Spark itself cannot provide such a complete ecosystem but is part of ecosystems.
> On 14 Apr 2016, at 21:13, Ashok Kumar <ashok34...@yahoo.com.INVALID> wrote: > > Hi, > > I hear that some saying that Hadoop is getting old and out of date and will > be replaced by Spark! > > Does this make sense and if so how accurate is it? > > Best
