ES enterprise search engine or log analytics?

Elasticsearch is apparently morphing from a traditional enterprise search engine into a log analytics. I' am planning the future of my small company but I want to start in the right direction, that's just my feeling or actually elasticsearch is changing its marketing strategies??

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 :slight_smile:

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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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, juergen.wagner@devoteam.com 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 :slight_smile:

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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The best way to think of elasticsearch is as an ever evolving swiss army
knife for search. It has support for both traditional search features as
well as some advanced features for structured search. For example,
elasticsearch aggregations have very little to do with text search but are
highly useful for digging through log data and other structured data. I
wouldn't worry too much about the marketing, although given the work in
particular areas, I would expect a lot more emphasis on things it has
recently become much better on (e.g. aggregations, structured search, use
as a resilient sharded& replicated document store) rather than stuff it has
always done well (i.e. text search).

If you have a small company (like we do) and you are considering to bet the
future on a technology like elasticsearch (like we did), it is useful to
consider what you expect from the product right now and in the future. I'm
now two years into this choice and at the time it was a shaky bet informed
in no small part by my previous experience with lucene and solr. In short,
I knew what was possible technically, what the limitations were, and which
things were being worked on. So, it paid off but a lot of the features we
use today did not exist two years ago. In retrospect, our timing was
perfect and Elasticsearch seems to have a knack to deliver stuff we need
just in time.

On Tuesday, December 9, 2014 9:40:37 AM UTC+1, Gianni Livolsi wrote:

Elasticsearch is apparently morphing from a traditional enterprise search
engine into a log analytics. I' am planning the future of my small
company
but I want to start in the right direction, that's just my feeling or
actually elasticsearch is changing its marketing strategies??

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