# Data Mining or R equivalents for Elasticsearch

**URL:** <https://discuss.elastic.co/t/data-mining-or-r-equivalents-for-elasticsearch/45419>\
**Category:** Elasticsearch\
**Created:** [March 25, 2016, 6:10am UTC](https://discuss.elastic.co/t/data-mining-or-r-equivalents-for-elasticsearch/45419 "2016-03-25T06:10:37Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![Sameer\_Dharur](https://avatars.discourse-cdn.com/v4/letter/s/58956e/32.png) [@Sameer\_Dharur](https://discuss.elastic.co/u/Sameer_Dharur)\
**Post date:** [March 25, 2016, 6:10am UTC](https://discuss.elastic.co/t/data-mining-or-r-equivalents-for-elasticsearch/45419/1 "2016-03-25T06:10:37Z")

</div>

Hello!

Does anybody know if there is R can be used for analytics over Elasticsearch data? Alternatively, is there any other tool like R that can be used to perform data mining operations over data stored on the Elasticsearch server?

Thanks!

---

<div class="post-metadata">

**Author:** ![nik9000](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nik9000/32/44947_2.png) [@nik9000](https://discuss.elastic.co/u/nik9000)\
**Post date:** [March 25, 2016, 12:31pm UTC](https://discuss.elastic.co/t/data-mining-or-r-equivalents-for-elasticsearch/45419/2 "2016-03-25T12:31:51Z")

</div>

Elasticsearch has [aggregations](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations.html) which are useful because they get to interact with data on disk and use the indexes efficiently.

It looks like there is also an r client for Elasticsearch: [https://github.com/ropensci/elastic](https://github.com/ropensci/elastic)

Those are all the r-like things I remember off hand.

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [July 5, 2017, 11:05pm UTC](https://discuss.elastic.co/t/data-mining-or-r-equivalents-for-elasticsearch/45419/3 "2017-07-05T23:05:13Z")

</div>


