Thanks, but here is my argument that they may not be seen as different purpose: I am thinking both Redshift and Hive as a data warehousing solutions, with STS as a mechanism to lift hive's performance (if Tez or LLAP can provide similar performance, I am fine to use Hive Thrift Server as well).
So, I want to build and implement core DWH models (read star schema) on Hive and expose it through some non-mapreduce framework. Does that make sense? Or I am thinking in wrong path and Redshift can do something more? On Fri, Sep 23, 2016 at 4:18 PM, Jörn Franke <jornfra...@gmail.com> wrote: > Depends what your use case is. A generic benchmark does not make sense, > because they are different technologies for different purposes. > > On 23 Sep 2016, at 06:09, ayan guha <guha.a...@gmail.com> wrote: > > Hi > > Is there any benchmark or point of view in terms of pros and cons between > AWS Redshift vs Spark SQL through STS? > > -- > Best Regards, > Ayan Guha > > -- Best Regards, Ayan Guha
