Is Elasticsearch 8.7 Released?

No information

There is no information about Elasticsearch 8.7 release date

Elasticsearch 8.6 was released on 1st November 2023

Meet Elasticsearch 8.7

  • Elasticsearch Search and Search Explain API endpoints change from v0 to v1
  • Fixes a known issue for logs and logging: Deployments do not collect Enterprise Search logs when using Docker images.
  • Elasticsearch index-based engines and the App Search Elasticsearch search API are now generally available
  • Fixes a known issue for logs and logging: Deployments do not collect Enterprise Search logs when using Enterprise Search service account tokens.

Version

You can check the version of Elasticsearch you are using by running the following command in the terminal:
curl -XGET 'http://localhost:9200'
The response should include a "version" field with the version number of Elasticsearch.

About Elasticsearch

Elasticsearch is a component of the Elastic Stack, a set of tools oriented for data storage, analysis, visualization, etc. Elastic Stack, and therefore Elasticsearch supports all kinds of data, including strings, geospatial data, numbers, all with structured, semistructured, or structureless configurations. Elasticsearch is the component that does the data retrieval for the whole stack. It is a NoSQL data query system, mostly written in Java, and it accepts mostly JSON queries. Elasticsearch was released in 2010, and as it was stated before, it is one crucial part of a whole set of tools that helps enterprises and individuals handle increasing amounts of data.

Elasticsearch has applications in many fields. Business analytics professionals benefit greatly from having huge sample sets at the tip of their fingers to draw complicated regressions that can help explain what happened before, and what might happen in the future with the extremely complex unit that is a business. Geospatial mapping is one of the strong suits of Elasticsearch, having applications in dashboarding and regular mapping. Extracting Key Performance Indicators, as well as figuring out new ones, is something that Elasticsearch does very well for businesses, again due to the speed and efficiency with which the entire stack works.

This system and software has particular features, for example, Logstash, its native pipeline to feed and extract data from the main database, is run entirely on the server side. This means that while the local client sends the instructions for what needs to be processed, the server handles the filtering, organizing, and cleaning of the data before reporting it back to the client or adding it back to the database. Kibana is a very significant part of Elasticsearch and the entire Elastic Stack, and it has good applications when combined with Elasticsearch, mainly for data visualizations. Kibana can automatically generate dashboards, graphs, and many other crucial tools that might be of great use for business owners. All of these features, Kibana achieves with data warehoused and searched by with Elasticsearch.

Releases

Elasticsearch first versions are of course no longer supported or given any maintenance. The original 0.4.0 version first released in 2010 has evolved to become the current release, 5.4, which was made available to the public in May of 2017. There are no rumors of big new versions, which would mark almost 4 years without a full release. Nevertheless, the version is still supported and bugfixed, meaning that it is perfectly usable for anyone.