Could you give a specific use case that combining Hive and ES to enhance
each other ?. I wonder that why don't we just use ES to retrieve data, big
data ? Thank you.


On Mon, Sep 1, 2014 at 11:02 PM, Costin Leau <[email protected]> wrote:

> Actually they are completely different.
> Hive is a library built on top of Hadoop that uses a SQL-like query
> language to transform (mainly read) data.
> Elasticsearch is a real-time search and analytics engine.
>
> You can read the docs of each library/product to see the differences or
> better yet, take a look at the various demos out there.
> As for why folks use Hive and Elasticsearch? Because as a Hadoop user
> (using Hive) by using Elasticsearch one can leverage its
> powerful search capabilities and easily slice and dice data.
> Arguably one could do the same with Hive however it's not at all trivial -
> a simple example is doing geo-search.
>
> Hope this clarifies this a bit.
>
> P.S. Elasticsearch does not depend on Hadoop however it is integrated with
> Hadoop (Map/Reduce, Hive, Pig, Spark, Cascading ) through
> Elasticsearch-Hadoop project.
>
>
> On 8/31/14 2:01 PM, vak5d6 wrote:
>
>> I see that Hive and Elasticsearch are almost equivalent except that
>> Elasticsearch supports near real time queries.
>> Moreover, Elasticsearch can run independently to store and analyze data.
>> So why people use both Hive and Elasticsearch
>> on Hadoop ?
>>
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