# Elasticsearch

> distributed, scalable, and highly available real-time search platform with a RESTful API

**Wikidata**: [Q3050461](https://www.wikidata.org/wiki/Q3050461)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Elasticsearch)  
**Source**: https://4ort.xyz/entity/elasticsearch

## Summary
Elasticsearch is a distributed, scalable, and highly available real-time search platform with a RESTful API, developed by Elastic and written in Java. It is a document-oriented database management system and search engine, first released in 2010 and widely used for its powerful search capabilities and flexibility.

## Key Facts
- Developed by Elastic, a software business based in the United States with headquarters in Mountain View.
- First released on February 8, 2010.
- Written in Java and runs on the Java Virtual Machine (JVM).
- Supports multiple operating systems, including Oracle Linux, Ubuntu, SUSE Linux Enterprise Server, Arch Linux, and CentOS.
- Uses Apache Lucene as its underlying search engine.
- Available under the Server Side Public License and Elastic License.
- Has over 200 versions released, with the latest stable version being 9.2.2 (as of the provided data).
- Used by notable projects like Al-Maktaba Al-Shamela, a digital library.
- Forked by OpenSearch, another search engine project.
- Has a RESTful API for easy integration with other systems.
- Supports faceted search through the Wikibase Faceted Search extension.
- Available as packages for various Linux distributions, including Debian, Fedora, Gentoo, and Arch Linux.
- Has a Docker Hub repository for containerized deployments.
- Maintained on GitHub with over 60,000 stars (as of the provided data).
- Used by Stack Exchange for tagging and search functionality.
- Supports multiple languages, including Arabic, Azerbaijani, Bengali, Catalan, and more.

## FAQs
- What is Elasticsearch primarily used for? Elasticsearch is primarily used for real-time search, data analysis, and indexing large volumes of data across distributed systems.
- Who developed Elasticsearch? Elasticsearch was developed by Elastic, a software business founded in 2012.
- What programming language is Elasticsearch written in? Elasticsearch is written in Java and runs on the Java Virtual Machine (JVM).
- What operating systems does Elasticsearch support? Elasticsearch supports multiple operating systems, including Oracle Linux, Ubuntu, SUSE Linux Enterprise Server, Arch Linux, and CentOS.
- What is the underlying technology behind Elasticsearch? Elasticsearch uses Apache Lucene as its underlying search engine.
- What licenses does Elasticsearch use? Elasticsearch is available under the Server Side Public License and Elastic License.
- How many versions of Elasticsearch have been released? Over 200 versions of Elasticsearch have been released, with the latest stable version being 9.2.2 (as of the provided data).
- What notable projects use Elasticsearch? Notable projects that use Elasticsearch include Al-Maktaba Al-Shamela, a digital library.
- What is the relationship between Elasticsearch and OpenSearch? OpenSearch is a fork of Elasticsearch, created as an open-source alternative.
- How can Elasticsearch be integrated with other systems? Elasticsearch has a RESTful API for easy integration with other systems.
- What additional features does Elasticsearch offer? Elasticsearch supports faceted search through the Wikibase Faceted Search extension.
- What packages are available for Elasticsearch? Elasticsearch is available as packages for various Linux distributions, including Debian, Fedora, Gentoo, and Arch Linux.
- How can Elasticsearch be deployed? Elasticsearch can be deployed using Docker containers via its Docker Hub repository.
- Where is the source code for Elasticsearch hosted? The source code for Elasticsearch is hosted on GitHub.
- What is the popularity of Elasticsearch? Elasticsearch has over 60,000 stars on GitHub (as of the provided data).
- What platforms use Elasticsearch? Elasticsearch is used by Stack Exchange for tagging and search functionality.
- What languages does Elasticsearch support? Elasticsearch supports multiple languages, including Arabic, Azerbaijani, Bengali, Catalan, and more.

## Why It Matters
Elasticsearch is significant in the field of search technology and data management due to its ability to handle large-scale data indexing and real-time search capabilities. Its distributed architecture allows it to scale horizontally, making it suitable for applications requiring high availability and performance. The platform's RESTful API and support for various programming languages and operating systems have made it a versatile tool for developers. Elasticsearch's integration with other systems and its use in notable projects highlight its importance in modern software ecosystems. Its open-source nature and community-driven development further contribute to its relevance and impact in the tech industry.

## Notable For
- First released in 2010, pioneering real-time search capabilities.
- Written in Java, ensuring cross-platform compatibility.
- Supports multiple operating systems, including Oracle Linux, Ubuntu, and CentOS.
- Uses Apache Lucene, a highly regarded search library.
- Available under the Server Side Public License and Elastic License.
- Over 200 versions released, with the latest stable version being 9.2.2.
- Used by Al-Maktaba Al-Shamela, a digital library.
- Forked by OpenSearch, creating an open-source alternative.
- RESTful API for easy integration with other systems.
- Supports faceted search through the Wikibase Faceted Search extension.
- Available as packages for various Linux distributions.
- Docker Hub repository for containerized deployments.
- Over 60,000 stars on GitHub.
- Used by Stack Exchange for tagging and search functionality.
- Supports multiple languages, including Arabic, Azerbaijani, Bengali, Catalan, and more.

## Body
### History
Elasticsearch was developed by Elastic, a software business founded in 2012. The first version of Elasticsearch was released on February 8, 2010. Over the years, Elasticsearch has evolved significantly, with over 200 versions released, including the latest stable version, 9.2.2.

### Development
Elasticsearch is written in Java and runs on the Java Virtual Machine (JVM). It uses Apache Lucene as its underlying search engine, which provides the core search capabilities. The platform is available under the Server Side Public License and Elastic License.

### Platform and Operating Systems
Elasticsearch supports multiple operating systems, including Oracle Linux, Ubuntu, SUSE Linux Enterprise Server, Arch Linux, and CentOS. It is also compatible with Unix-like operating systems. The platform is available as packages for various Linux distributions, including Debian, Fedora, Gentoo, and Arch Linux.

### Deployment
Elasticsearch can be deployed using Docker containers via its Docker Hub repository. It is also available as packages for various Linux distributions, making it easy to install and manage.

### Source Code
The source code for Elasticsearch is hosted on GitHub, where it has over 60,000 stars. This indicates its popularity and active community involvement.

### Notable Projects
Elasticsearch is used by notable projects, including Al-Maktaba Al-Shamela, a digital library. It is also used by Stack Exchange for tagging and search functionality.

### Forks
OpenSearch is a fork of Elasticsearch, created as an open-source alternative. This fork aims to provide a community-driven version of Elasticsearch.

### API and Integration
Elasticsearch has a RESTful API for easy integration with other systems. It supports faceted search through the Wikibase Faceted Search extension, enhancing its search capabilities.

### Languages
Elasticsearch supports multiple languages, including Arabic, Azerbaijani, Bengali, Catalan, and more. This makes it a versatile tool for developers working with diverse language requirements.

### Community and Support
Elasticsearch has a strong community and support system. It is available as packages for various Linux distributions, and its source code is hosted on GitHub. The platform is also used by Stack Exchange, indicating its reliability and effectiveness.

### Versions and Updates
Elasticsearch has released over 200 versions, with the latest stable version being 9.2.2. This indicates the platform's active development and continuous improvement.

### Impact and Relevance
Elasticsearch's ability to handle large-scale data indexing and real-time search capabilities makes it a significant player in the field of search technology and data management. Its distributed architecture allows it to scale horizontally, making it suitable for applications requiring high availability and performance. The platform's RESTful API and support for various programming languages and operating systems have made it a versatile tool for developers. Elasticsearch's integration with other systems and its use in notable projects highlight its importance in modern software ecosystems. Its open-source nature and community-driven development further contribute to its relevance and impact in the tech industry.

## References

1. [Upcoming licensing changes to Elasticsearch and Kibana. 2021](https://www.elastic.co/de/blog/licensing-change)
2. [Source](https://github.com/elastic/elasticsearch/pull/67617)
3. [Source](https://www.elastic.co/de/support/matrix)
4. [Source](https://www.elastic.co/guide/en/elasticsearch/reference/5.6/release-notes-5.6.0.html)
5. [Release 5.6.0. 2017](https://github.com/elastic/elasticsearch/releases/tag/v5.6.0)
6. [Source](https://www.elastic.co/downloads/elasticsearch)
7. [Release 5.6.2. 2017](https://github.com/elastic/elasticsearch/releases/tag/v5.6.2)
8. [Source](https://www.elastic.co/blog/elasticsearch-6-0-0-released?blade=tw&hulk=social)
9. [Release 6.0.0. 2017](https://github.com/elastic/elasticsearch/releases/tag/v6.0.0)
10. [Source](https://www.elastic.co/guide/en/elasticsearch/reference/current/release-notes-6.1.1.html)
11. [Release 6.1.1. 2017](https://github.com/elastic/elasticsearch/releases/tag/v6.1.1)
12. [Source](https://github.com/elastic/elasticsearch/releases/tag/v6.1.2)
13. [Source](https://github.com/elastic/elasticsearch/releases/tag/v5.6.6)
14. [Source](https://github.com/elastic/elasticsearch/releases/tag/v6.1.3)
15. [Source](https://github.com/elastic/elasticsearch/releases/tag/v5.6.7)
16. [elasticsearch: Open Source, Distributed, RESTful Search Engine. 2018](https://github.com/elastic/elasticsearch/releases/tag/v6.2.1)
17. [Source](https://github.com/elastic/elasticsearch/releases/tag/v6.2.2)
18. [Source](https://github.com/elastic/elasticsearch/releases/tag/v5.6.8)
19. [Source](https://github.com/elastic/elasticsearch/releases/tag/v6.1.4)
20. [Source](https://github.com/elastic/elasticsearch/releases/tag/v6.2.3)
21. [Source](https://github.com/elastic/elasticsearch/releases/tag/v6.2.4)
22. [Release 6.2.0. 2018](https://github.com/elastic/elasticsearch/releases/tag/v6.2.0)
23. [Release 6.3.0. 2018](https://github.com/elastic/elasticsearch/releases/tag/v6.3.0)
24. [Release 6.3.1. 2018](https://github.com/elastic/elasticsearch/releases/tag/v6.3.1)
25. [Release 1.2.1. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.2.1)
26. [Release 1.2.2. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.2.2)
27. [Release 1.2.3. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.2.3)
28. [Release 1.2.4. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.2.4)
29. [Release 1.3.0. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.3.0)
30. [Release 1.3.1. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.3.1)
31. [Release 1.3.2. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.3.2)
32. [Release 1.3.3. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.3.3)
33. [Release 1.3.4. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.3.4)
34. [Release 1.3.5. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.3.5)
35. [Release 1.3.6. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.3.6)
36. [Release 1.3.7. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.3.7)
37. [Release 1.3.8. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.3.8)
38. [Release 1.3.9. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.3.9)
39. [Release 1.4.0. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.4.0)
40. [Release 1.4.1. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.4.1)
41. [Release 1.4.2. 2014](https://github.com/elastic/elasticsearch/releases/tag/v1.4.2)
42. [Release 1.4.3. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.4.3)
43. [Release 1.4.4. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.4.4)
44. [Release 1.4.5. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.4.5)
45. [Release 1.5.0. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.5.0)
46. [Release 1.5.1. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.5.1)
47. [Release 1.5.2. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.5.2)
48. [Release 1.6.0. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.6.0)
49. [Release 1.6.1. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.6.1)
50. [Release 1.6.2. 2015](https://github.com/elastic/elasticsearch/releases/tag/v1.6.2)