Hello Rohit, You can use the Banana project which was forked from Kibana <https://github.com/elastic/kibana>, and works with all kinds of time series (and non-time series) data stored in Apache Solr <https://lucene.apache.org/solr/>. It uses Kibana's powerful dashboard configuration capabilities, ports key panels to work with Solr, and provides significant additional capabilities, including new panels that leverage D3.js <http://d3js.org/>
would need mostly aggregation queries like sum/average/groupby etc, but > data set is quite huge. The aggregation queries should be very fast. all your requirement can be served by this banana but I'm not sure about how fast solr compare to ELK <https://www.elastic.co/products> On Thu, Feb 4, 2016 at 10:51 AM, Rohit Kumar <rohitkumarbhagat...@gmail.com> wrote: > Hi > > I am quite new to Solr. I have to build a real time analytics system which > displays metrics based on multiple filters over a huge data set (~50million > documents with ~100 fileds ). I would need mostly aggregation queries like > sum/average/groupby etc, but data set is quite huge. The aggregation > queries should be very fast. > > Is Solr suitable for such use cases? > > Thanks > Rohit > -- ckreddybh. <chaitu...@gmail.com>
