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Hortonworks Certifies Spark On YARN, Hadoop
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srowen
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srowen,
User Rank: Apprentice
7/4/2014 | 1:49:35 PM
Re: That's nice, but ...
I am from Cloudera and have committed about 50 patches to Spark. Same goes for a few other people here. What are you looking at?
ap2snoopy
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ap2snoopy,
User Rank: Apprentice
7/4/2014 | 1:34:53 PM
Re: That's nice, but ...
None of the three 'race horses' (MapR, Cloudera, Hortonworks) seem to have contributed to Spark development.

UCB and Databricks (Spark is their main focus) seem to have the most commiters. 

https://cwiki.apache.org/confluence/display/SPARK/Committers

 

 
Charlie Babcock
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Charlie Babcock,
User Rank: Author
6/30/2014 | 9:28:57 PM
Spark keeps Hadoop competitive
It looks like there is a healthy competition between these companies that will do much to keep their respective Hadoops systems competitive. MapR Spark, Hortonworks Spark on Yarn and Cloudera Manager's support for Spark are pushing the boundaries of big data.
srowen
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srowen,
User Rank: Apprentice
6/26/2014 | 6:23:02 PM
That's nice, but ...
... would be nicer if more than 0 people from HortonWorks made any contribution to Spark. Or you could actually run Spark in production with HDP.
D. Henschen
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D. Henschen,
User Rank: Author
6/26/2014 | 4:25:41 PM
Another case of commercial management tool versus open-source management tool
For more on Cloudera's options for implementing Spark, incuding on YARN, click here. Given Cloudera's use of YARN, the key difference between Cloudera and Hortonworks use of Spark seems to boil down to the management software used for deploying, monitoring, and managing the software (YARN does the workloads). In Cloudera's case it's commerical Cloudera Manager software. In Hortonworks' case it's open source Ambari software, but Ambari support is part of what Hortonworks is still working on at this point. Reading between the lines, I would expect HDP 2.1 to become generally available until this fall.


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