Elasticsearch

Elasticsearch
Developer(s) Shay Banon
Initial release February 8, 2010 (2010-02-08)
Stable release
6.4.1 / September 18, 2018 (2018-09-18)[1]
Repository
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Written in Java
Operating system Cross-platform
Type Search and index
License Apache License 2.0
Website elastic.co/products/elasticsearch
Elasticsearch BV
Public
Traded as NYSE: ESTC
Industry Software Development
Headquarters Amsterdam
Products Elasticsearch, Logstash, Kibana, Beats
Services Elasticsearch commercial solutions
Website elastic.co
Shay Banon talking about Elasticsearch at Berlin Buzzwords 2010

Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. Official clients are available in Java, .NET (C#), PHP, Python, Apache Groovy, Ruby and many other languages.[2] According to the DB-Engines ranking, Elasticsearch is the most popular enterprise search engine followed by Apache Solr, also based on Lucene.[3]

Elasticsearch is developed alongside a data-collection and log-parsing engine called Logstash, and an analytics and visualisation platform called Kibana. The three products are designed for use as an integrated solution, referred to as the "Elastic Stack" (formerly the "ELK stack").

Elasticsearch can be used to search all kinds of documents. It provides scalable search, has near real-time search, and supports multitenancy.[2] "Elasticsearch is distributed, which means that indices can be divided into shards and each shard can have zero or more replicas. Each node hosts one or more shards, and acts as a coordinator to delegate operations to the correct shard(s). Rebalancing and routing are done automatically".[2] Related data is often stored in the same index, which consists of one or more primary shards, and zero or more replica shards. Once an index has been created, the number of primary shards cannot be changed.[4]

Elasticsearch uses Lucene and tries to make all its features available through the JSON and Java API. It supports facetting and percolating,[5] which can be useful for notifying if new documents match for registered queries.

Another feature is called "gateway" and handles the long-term persistence of the index;[6] for example, an index can be recovered from the gateway in the event of a server crash. Elasticsearch supports real-time GET requests, which makes it suitable as a NoSQL datastore,[7] but it lacks distributed transactions.[8]

History

Shay Banon created the precursor to Elasticsearch, called Compass, in 2004.[9] While thinking about the third version of Compass he realized that it would be necessary to rewrite big parts of Compass to "create a scalable search solution".[9] So he created "a solution built from the ground up to be distributed" and used a common interface, JSON over HTTP, suitable for programming languages other than Java as well.[9] Shay Banon released the first version of Elasticsearch in February 2010.[10]

Elasticsearch BV was founded in 2012 to provide commercial services and products around Elasticsearch and related software.[11] In June 2014, the company announced raising $70 million in a Series C funding round, just 18 months after forming the company. The round was led by New Enterprise Associates (NEA). Additional funders include Benchmark Capital and Index Ventures. This round brings total funding to $104M.[12]

In March 2015, the company Elasticsearch changed their name to Elastic.[13]

In June 2018, Elastic filed for an initial public offering with a estimated valuation of between 1.5 and 3 billion dollars.[14]

Managed services

Several organizations offer Elasticsearch as a managed service.[15] Such managed services provide hosting, deployment, backup and other support.[16] Most managed services also include support for Kibana.

See also

References

  1. ↑ "Releases - elastic/elasticsearch". Retrieved 25 September 2018 – via GitHub.
  2. 1 2 3 "Official Website". Elasticsearch.org. Retrieved 2014-02-04.
  3. ↑ "DB-Engines Ranking - popularity ranking of search engines". db-engines.com. Retrieved 10 January 2016.
  4. ↑ "How to monitor Elasticsearch performance".
  5. ↑ "percolate at elasticsearch.org reference". Elasticsearch.org. Retrieved 2014-02-04.
  6. ↑ "elasticsearch Guide: Gateway". elasticsearch. Retrieved April 19, 2013.
  7. ↑ "Elasticsearch as database". Karussell.wordpress.com. Retrieved 2014-02-04.
  8. ↑ "No transaction support". Elasticsearch-users.115913.n3.nabble.com. 2010-07-08. Retrieved 2014-02-04.
  9. 1 2 3 Banon, Shay. "The Future of Compass & ElasticSearch".
  10. ↑ Banon, Shay (2010-02-08). "You Know, for Search". Archived from the original on 2013-01-16.
  11. ↑ "Immediate Insight from Data Matters". elastic.co. Retrieved 25 March 2015.
  12. ↑ "ElasticSearch Scores $70M In Series C To Fund Growth Spurt". TechCrunch. AOL. Retrieved 25 March 2015.
  13. ↑ "Elasticsearch Changes Name to Elastic to Reflect Wide Adoption Beyond Search". Elastic. Retrieved 19 October 2016.
  14. ↑ Schleifer, Theodore (21 June 2018). "The IPOs keep coming: The search company Elastic has filed to go public". Recode. Retrieved 22 June 2018.
  15. ↑ "Hosted Elasticsearch & Kibana on AWS". elastic.co. Retrieved 2016-10-16.
  16. ↑ "Elasticsearch Setup". ctovision.com. Retrieved 2016-10-16.
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