HBase has a different use case - it's for low-latency querying of big
tables. If you combined it with Hive, you might have something nice for
certain queries, but I wouldn't think of them as direct competitors.

On Mon, Apr 18, 2016 at 6:34 PM, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:

> Hi,
>
> I notice that Impala is rarely mentioned these days.  I may be missing
> something. However, I gather it is coming to end now as I don't recall many
> use cases for it (or customers asking for it). In contrast, Hive has hold
> its ground with the new addition of Spark and Tez as execution engines,
> support for ACID and ORC and new stuff in Hive 2. In addition provided a
> good choice for its metastore it scales well.
>
> If Hive had the ability (organic) to have local variable and stored
> procedure support then it would be top notch Data Warehouse. Given its
> metastore, I don't see any technical reason why it cannot support these
> constructs.
>
> I was recently asked to comment on migration from commercial DWs to Big
> Data (primarily for TCO reason) and really could not recall any better
> candidate than Hive. Is HBase a viable alternative? Obviously whatever one
> decides there is still HDFS, a good engine for Hive (sounds like many
> prefer TEZ although I am a Spark fan) and the ubiquitous YARN.
>
> Let me know your thoughts.
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
>

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