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Wednesday
Feb102010

ElasticSearch - Open Source, Distributed, RESTful Search Engine

ElasticSearch is an open source, distributed, RESTful search engine built on top of Lucene. Its features include:

  • Distributed and Highly Available Search Engine.
    • Each index is fully sharded with a configurable number of shards.
    • Each shard can have zero or more replicas.
    • Read / Search operations performed on either replica shard.
  • Multi Tenant with Multi Types.
    • Support for more than one index.
    • Support for more than one type per index.
    • Index level configuration (number of shards, index storage, ...).
  • Various set of APIs.
    • HTTP RESTful API.
    • Native Java API.
    • All APIs perform automatic node operation rerouting.
  • Document oriented.
    • No need for upfront schema definition.
    • Schema can be defined per type for customization of the indexing process.
  • Reliable, Asynchronous Write Behind for long term persistency.
  • (Near) Real Time Search.
  • Built on top of Lucene.
    • Each shard is a fully functional Lucene index.
    • All the power of Lucene easily exposed through simple configuration / plugins.
  • Per operation consistency.
    • Single document level operations are atomic, consistent, isolated and durable.
  • Open Source under Apache 2 License.

Check out the complete overview, download it, read the docs, and watch/fork it. Follow @elasticsearch for news and updates.

 

Reader Comments (5)

Sounds interesting, and a lot like SolR [1] which has been deployed and battle tested for years.

Any ideas what the advantages/disadvantages of elasticsearch vs Solr are?

[1] http://lucene.apache.org/solr/

February 10, 2010 | Unregistered CommenterNeville

IMHO it is better for Solr to have good competition! Both Solr and future ES users (i.e. developers) will benefit from it (the same way Hibernate search was positively influenced by Compass).

February 11, 2010 | Unregistered CommenterLukas Vlcek

Yeah it sounds more like Solr. You can check out the new Reference Guide on Solr 1.4 and get all the information required on Solr 1.4 at :

http://www.lucidimagination.com/Downloads/LucidWorks-for-Solr/Reference-Guide

February 11, 2010 | Unregistered CommenterHarry

I liked the elasticity of the ES and the ability to add nodes to the cluster on the fly.
Is that so? can nodes be added seamlessly?
one more thing that is Solr differentiators - does ES have the MoreLikeThis feature that Solr have? .

February 13, 2010 | Unregistered CommenterOri Lahav

i'd like to see a comparison with katta....

July 8, 2010 | Unregistered Commenterrons

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