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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