Solr 7.3 has very sophisticated math capabilities described below:

https://github.com/joel-bernstein/lucene-solr/blob/math_expressions_documentation/solr/solr-ref-guide/src/math-expressions.adoc

This is the userguide for math expressions which didn't make the 7.3
release but all the functions are committed and working for 7.3. It's only
the documentation that is lagging behind. About 30 new
functions are added with every release.

Joel Bernstein
http://joelsolr.blogspot.com/

On Thu, Mar 22, 2018 at 4:28 PM, Steven White <swhite4...@gmail.com> wrote:

> Thank you all for your input.
>
> The one question still remains: what are the list of ES analytics that are
> not available, out-of-the-box, in Solr?  Is there such a list?
>
> Steve
>
> On Thu, Mar 22, 2018 at 2:07 PM, Rahul Singh <rahul.xavier.si...@gmail.com
> >
> wrote:
>
> > I have the same experience as Daphne. I’ve used SolR for more “document”
> /
> > “content” / “Knowledge” search and Elastic as a Log store or Mongo
> > replacement. SolR has more ways to return/injest data such as XML, JSON,
> or
> > even CSV which is appealing. The binary protocol in SolrJ is also
> appealing
> > because the updates / selects are fast.
> >
> > Ultimately I think SolR is like a 18 wheel tractor trailer and Elastic is
> > like a uhaul trucks and you can chain a bunch of them up to do what SolR
> > does.
> >
> > --
> > Rahul Singh
> > rahul.si...@anant.us
> >
> > Anant Corporation
> >
> > On Mar 22, 2018, 9:04 AM -0500, Liu, Daphne <
> daphne....@cevalogistics.com>,
> > wrote:
> > > I used Solr + Cassandra for Document search. Solr works very well with
> > document indexing.
> > > For big data visualization, I use Elasticsearch + Grafana.
> > > As for today, Grafana is not supporting Solr.
> > > Elasticseach is very friendly and easy to use on multi-dimensional
> Group
> > by and its real-time query performance is very good.
> > > Grafana dashboard solution can be viewed @ https://grafana.com/
> > dashboards/5204/edit
> > >
> > >
> > > Kind regards,
> > >
> > > Daphne Liu
> > > BI Architect Big Data - Matrix SCM
> > >
> > > CEVA Logistics / 10751 Deerwood Park Blvd, Suite 200, Jacksonville, FL
> > 32256 USA / www.cevalogistics.com
> > > T 904.9281448 / F 904.928.1525 / daphne....@cevalogistics.com
> > >
> > > Making business flow
> > >
> > > -----Original Message-----
> > > From: Steven White [mailto:swhite4...@gmail.com]
> > > Sent: Thursday, March 22, 2018 9:14 AM
> > > To: solr-user@lucene.apache.org
> > > Subject: Solr or Elasticsearch
> > >
> > > Hi everyone,
> > >
> > > There are some good write ups on the internet comparing the two and the
> > one thing that keeps coming up about Elasticsearch being superior to Solr
> > is it's analytic capability. However, I cannot find what those analytic
> > capabilities are and why they cannot be done using Solr. Can someone help
> > me with this question?
> > >
> > > Personally, I'm a Solr user and the thing that concerns me about
> > Elasticsearch is the fact that it is owned by a company that can any day
> > decide to stop making Elasticsearch avaialble under Apache license and
> even
> > completely close free access to it.
> > >
> > > So, this is a 2 part question:
> > >
> > > 1) What are the analytic capability of Elasticsearch that cannot be
> done
> > using Solr? I want to see a complete list if possible.
> > > 2) Should an Elasticsearch user be worried that Elasticsearch may close
> > it's open-source policy at anytime or that outsiders have no say about
> it's
> > road map?
> > >
> > > Thanks,
> > >
> > > Steve
> > >
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