Spark streaming does not process 1 event at a time which is in general I think what people call "Streaming." It instead processes groups of events. Each group is a "MicroBatch" that gets processed at the same time.
Streaming theoretically always has better latency because the event is processed as soon as it arrives. While in microbatching the latency of all the events in the batch can be no better than the last element to arrive. Streaming theoretically has worse performance because events cannot be processed in bulk. In practice throughput and latency are very implementation dependent On Tue, Aug 23, 2016 at 8:41 AM Aseem Bansal <asmbans...@gmail.com> wrote: > I was reading this article https://www.inovex.de/blog/storm-in-a-teacup/ > and it mentioned that spark streaming actually mini-batch not actual > streaming. > > I have not used streaming and I am not sure what is the difference in the > 2 terms. Hence could not make a judgement myself. >
