Some say that spark streaming, even though it can handle streams in the form of micro-batches, it is still not quite a streaming computing system like storm. So what are the limiting factors of this micro-batch computing ideology? What makes it less than a real computing system? Thanks!
Take a look at the Spark Streaming paper here. It compares record-at-a-time and batch streaming. Since it's a paper on Spark, it's more biased towards Spark's approach of batch streaming. Also, the paper is 2 years old and a lot of things happened in that time frame. Here is another ppt to get started.
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