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 <> 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 <> 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

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