Yes, indeed.
That's why we choose Flink instead all the others.
This post was just pure curiosity to see spark trying to migrate into a pure
streaming engine.
--
View this message in context:
http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Latest-spark-yahoo-benchmark-tp13
@nragon - I think this is a classical "benchmarketing" post. A few thoughts
on that
- Everyone can tune their system to be best. We ran Flink with even
higher throughput than that:
https://image.slidesharecdn.com/benchmark-mapr-160407212254/95/extending-the-yahoo-streaming-benchmark-mapr-benchma
From my understanding, the benchmark was done using Structured Streaming
that is still based on micro batching.
There are not throughput numbers for the new "Continuous Processing"
model Spark want to introduce. Only some latency numbers. Also note,
that the new "Continuous Processing" will not gi