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https://issues.apache.org/jira/browse/BEAM-9440?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17548348#comment-17548348
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Danny McCormick commented on BEAM-9440:
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This issue has been migrated to https://github.com/apache/beam/issues/19990
> Performance Issues with Beam Runners compared with Native Systems
> -----------------------------------------------------------------
>
> Key: BEAM-9440
> URL: https://issues.apache.org/jira/browse/BEAM-9440
> Project: Beam
> Issue Type: Bug
> Components: runner-apex, runner-flink, runner-spark
> Reporter: Soumabrata Chakraborty
> Priority: P3
>
> While doing a performance evaluation of Apache Beam with Spark Runner - I
> found that even for a simple word count problem on a text file – Beam with
> Spark runner was slower by a factor of 5 times as compared to Spark for a
> dataset as small as 14 GB.
> You will find more details on this evaluation here -
> [https://github.com/soumabrata-chakraborty/spark-vs-beam/blob/master/README.md]
> I also came across this analysis called _**Quantitative Impact Evaluation of
> an Abstraction Layer for Data Stream Processing Systems_
> ([https://arxiv.org/pdf/1907.08302.pdf] /
> [https://ieeexplore.ieee.org/document/8884832])
> According to it, the observation was that for most scenarios the slowdown was
> at least a factor of 3 with the worse case being a factor of 58!
> While it is understood that an abstraction layer would come with some
> performance cost - the current performance cost seems to be very high.
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