Beyond window queries, hive still has concepts like cube or lateral view that many "better than hive" systems don't have.
Also now many people went around broadcasting SparkSQL/SparkSQL was/is better/faster than hive but now that tez has "whooped" them in a benchmark they are very quite. http://www.quora.com/What-do-the-people-who-answered-Quora-questions-about-Spark-being-faster-than-Hive-say-now-that-Hortonworks-claims-that-Hive-on-Tez-is-faster-than-Spark On Wed, May 20, 2015 at 9:50 AM, Dragga, Christopher < chris.dra...@netapp.com> wrote: > While I’ve not experimented with the most recent versions of SparkSQL, > earlier releases could not cope with intermediate result sets that exceeded > the available memory; Hive handles this sort of situation much more > gracefully. If you have a smallish cluster and large data, this could pose > a problem. Still, it’s worth looking into SparkSQL to see if this is still > an issue. > > > > -Chris Dragga > > > > *From:* Uli Bethke [mailto:uli.bet...@sonra.io] > *Sent:* Wednesday, May 20, 2015 7:04 AM > *To:* user@hive.apache.org > *Subject:* Re: Hive on Spark VS Spark SQL > > > > Interesting question and one that I have asked myself. If you are already > heavily invested in the Hive ecosystem in terms of code and skills I would > look at Hive on Spark as my engine. In theory swapping out engines (MR, > TEZ, Spark) should be easy. Even though the devil is in the detail. > SparkSQL supports a broad subset of HiveQL (some esoteric features are not > supported). Crucially in my opinion SparkSQL 1.4 will also introduce > windowing functions. If starting out on a greenfield site I would > exclusively look at SparkSQL. > > On 20/05/2015 06:38, guoqing0...@yahoo.com.hk wrote: > > Hive on Spark and SparkSQL which should be better , and what are the key > characteristics and the advantages and the disadvantages between ? > > > ------------------------------ > > guoqing0...@yahoo.com.hk > > > > -- > > ___________________________ > > Uli Bethke > > Co-founder Sonra > > p: +353 86 32 83 040 > > w: www.sonra.io > > l: linkedin.com/in/ulibethke > > t: twitter.com/ubethke > > > > Chair Hadoop User Group Ireland: > > http://www.meetup.com/hadoop-user-group-ireland/ > >