@josh_wills are you still working on Driskill?
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Replying to @samklr
@samklr@posco told me that he thinks@summingbird is what Driskill wanted to be; I've been meaning to prove that out.3 replies 1 retweet 0 likes -
Replying to @josh_wills
@josh_wills@posco Humm Imho summingbird solves half of the problem, I find it hard to adapt so spark rdd for ex.1 reply 0 retweets 0 likes -
Replying to @samklr
@samklr@josh_wills We are making a spark backend in Jan or Feb. Stay tuned (and/or help out!)2 replies 0 retweets 2 likes -
Replying to @josh_wills
@josh_wills Batch to start, streaming PRs welcome. Our internal storm is well supported, so we'll stay on that.1 reply 0 retweets 1 like -
Replying to @posco
@posco@josh_wills would be so useful for someone to write up a good comparison of Summingbird, Samza, Kinesis, Spark Streaming...3 replies 3 retweets 4 likes -
Replying to @avibryant
@avibryant@josh_wills in particular, as far as I can tell, Samza is a pure analog of Hadoop madreduce for queues. /cc@jaykreps1 reply 0 retweets 0 likes -
Replying to @posco
@posco@josh_wills@jaykreps and Kinesis is basically AWS Samza. But Spark Streaming is also a planner, no?3 replies 0 retweets 0 likes -
Replying to @avibryant
@avibryant@posco@josh_wills I think Kinesis is more similar to Kafka (partitioned log storage) rather than any processing layer...2 replies 0 retweets 0 likes
@jaykreps @posco @josh_wills if you look at the docs for their java client libs, it's very like Samza, I think. http://docs.aws.amazon.com/kinesis/latest/dev/kinesis-record-processor-app.html …
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