FWIW most of LinkedIn's batch processing still runs on Hadoop. Stream versus batch is not just about throughput versus latency. It is about what you do with the extra latency budget to increase your throughput. e.g. If you reorganize your data to make your batch process go 10x faster because you used a better join algorithm, then its worth doing things in batch. Otherwise there isn't much difference.