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|Features||Apache storm||Apache spark|
|Programming language||Java, scala, clojure||Java, scala|
|Processing models||True stream processing model through system layer||Apache spark streaming is wrapper over batch processing|
|Reliability||Support exactly once processing mode. Can also be used in at least once and at most once processing modes||Support exactly once processing mode|
|Latency||Apache storm provides better latency||Apache spark provides less latency|
|Resource management||Can run on YARN and Mesos||Can run on YARK and Mesos|
|Real time stream processing||Batch processing|
|Mater/slave architecture with ZooKeeper based coordination. The master node is called as nimbus and slaves are supervisors.||Master slave architecture with or without ZooKeeper based coordination master node is job tracker and slave node is task traker.|
|Storm topology runs until shutdown by the user or an unexpected unrecoverable unsuccess||Mapreduce jobs are executed in a sequential order and completed eventually |
|A storm streaming process can access tens of thousands messages per second on cluster||Hadoop Distributed file system uses Mapreduce framework to process the vast amount of data that takes minutes or hours.|