Thanks Bhimavarapu for the information. We are creating our own dashboard, so probably wont need kibana/banana. I was more curious about Solr support for fast aggregation query over very large data set. As suggested, I guess elasticsearch has this capability. Is there any published metrics or data regarding elasticsearch/solr performance in this area that I can refer to?
Thanks Rohit On Thu, Feb 4, 2016 at 11:48 AM, CKReddy Bhimavarapu <chaitu...@gmail.com> wrote: > 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> >
