Elasticsearch the open source project is totally data agnostic and supports
traditional search use cases well.  That won't go away because it too
important to too many people.

By the same token log analytics is a very common use case so you'll see
more attention payed to things like: speeding up indexing lots of small
documents, index-mostly workloads, and aggregations.  Lots of folks do lots
of log analytics with Elasticsearch so that is probably here to stay as
well.

These really are complimentary strategies - when you need to implement
search in some application you might reach for Elasticsearch because some
opsen has been talking your ear off about how nice Logstash and Kibana
are.  That's almost what happened to us.

One big difference between these two prongs is that ELK is batteries mostly
included - its a tool and you might build custom dashboards or configure
some custom filters but for the most part it just works.  In the enterprise
search space Elasticsearch is much more a building block than a premade
tool.  Its something that other tools build on to power search.  So there
is no setting to have it go and spider a sharepoint repository or whatever.

Nik

On Tue, Dec 9, 2014 at 3:54 AM, <[email protected]> wrote:

> Hello Gianni,
>   I cannot look into the heads of the Elasticsearch developers and company
> strategists, but it is clear to me that if they want to position a new
> "product" in an area that is already rather well covered by other
> (commercial and OpenSource) products, they should find their own, distinct
> positioning in the market. Apparently, log ingestion, retrieval and
> analytics is a field in which there are strong Elasticsearch customers and
> nice success stories, but where many companies are struggling today to find
> solutions at reasonable cost. So, the logical consequence for Elasticsearch
> is to promote their (rather generic) tools as a solution (with Logstash and
> Kibana) that provides a quick start for many users with challenges in
> exactly this field. That's how you gain market share :-)
>
> Practically, you could do exactly the same with SolrCloud. However, your
> mileage will vary compared to "ELK".
>
> So, I would interpret this "focus" on log analytics as simply a clever
> move to become visible, to quickly create a significant community of users,
> and to leverage the paid-for products Elasticsearch as a company is
> offering or planning to offer.
>
> As for your start-up, does it really matter whether Elasticsearch will
> continue to focus on log analytics or not? Don't you think that if your
> company will build up extensive experience with Elasticsearch in the domain
> of large log analytics projects, you could later translate that into other
> application domains as well - just as Elasticsearch will explore other
> fields? Looking at the featured case studies on their web site, there are
> clearly more applications that could be transformed into nice patterns
> analogous to the "log analytics" application.
>
> Best regards,
> --Jürgen
>
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