Elasticsearch is a search and analytics engine that allows real-time processing of data as it flows into systems. It enables exploring and gaining insights from data through real-time search and analytics capabilities. Elasticsearch is distributed, high available, and multi-tenant, allowing it to scale horizontally as needs grow. It uses Lucene for powerful full text search and is document-oriented, schema-free, and has a RESTful API.

1. search and analytics engine
Oto Brglez / @otobrglez

2. real time data
Data flows into your system all the time.
The question is - how quickly can that data
become an insight? With Elasticsearch, real-
time is the only time.

3. real time analytics
Search isn’t just free text search anymore –
it’s about exploring your data.
Understanding it. Gaining insights that will
make your business better or improve your
product.

4. distributed
Elasticsearch allows you to start small, but
will grow with your business. It is built to
scale horizontally out of the box. As you
need more capacity, just add more nodes, and
let the cluster reorganize itself to take
advantage of the extra hardware.

5. high availability
Elasticsearch clusters are resilient – they
will detect and remove failed nodes, and
reorganize themselves to ensure that your
data is safe and accessible.

6. multi-tenancy
A cluster can host multiple indices which
can be queried independently or as a group.
Index aliases allow you to add indexes on
the fly, while being transparent to your
application.

7. full text search
Elasticsearch uses Lucene under the covers
to provide the most powerful full text
search capabilities available in any open
source product. Search comes with multi-
language support, a powerful query language,
support for geolocation, context aware did-
you-mean suggestions, autocomplete and
search snippets.

8. document oriented
Store complex real world entities in
Elasticsearch as structured JSON documents.
All fields are indexed by default, and all
the indices can be used in a single query,
to return results at breath taking speed.

9. conflict management
Optimistic version control can be used where
needed to ensure that data is never lost due
to conflicting changes from multiple
processes

10. schema free
Elasticsearch allows you to get started
easily. Toss it a JSON document and it will
try to detect the data structure, index the
data and make it searchable. Later, apply
your domain specific knowledge of your data
to customize how your data is indexed.

11. restful API
Elasticsearch is API driven. Almost any
action can be performed using a simple
RESTful API using JSON over HTTP. An API
already exists in the language of your
choice.

12. build on top of lucene
Apache Lucene is a high performance, full-
featured Information Retrieval library,
written in Java. Elasticsearch uses Lucene
internally to build its state of the art
distributed search and analytics
capabilities.

13. Who uses ElasticSearch?
Global projects
- foursquare
- soundcloud
- GitHub
Our projects
- Utelier
- bof-search-engine
- RPS
- Dipstix*

14. Thanks
For more information:
- http://www.elasticsearch.org/
- http://www.elasticsearch.org/guide/
- http://stackoverflow.com/questions/tagged/elasticsearch
… or ask me.
Oto Brglez / @otobrglez