After announcing that Fork AWS Elastics Bearch in an open source draft earlier this year, the AWS project sponsored to OpenSearch has launched version 1.0 of its analysis engine.
OpenSearch for the first time launched a beta of its AWS ElasticSearch fork in April of this year and now its first official version includes the Architecture Support at Linux, as well as several new features that are explained in detail in their launch notes.
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In a new blog publication, OpenSearch’s search team provided more information about what is set aside from the Elastic Analysis Engine and the Kibana Visualization Tool, saying:
“OpenSearch is an open source search and analysis suite with open source, derived from Apache 2.0, licensed licensed, Bachelor 7.10.2 and Kibana 7.10.2. It consists of a daemon daemon (OpenSearch), an interface of visualization and interface User (OpenSearch panels) and Open Distro Advanced Features for ElasticSearch Life Security, Alerting, Anomaly Detection and more “.
The legal battle continues
In October 2015, AWS launched its ElasticSearch service for the first time without collaborating with elastic before it created its own distribution called open distro for ElasticSearch in March 2019.
While AWS originally intended to continue contributing to the Apache 2.0-Liceneed Licenseed Upttream project, the elastic went off by how the cloud computing giant continued using his name. This led to the elastic presentation of a demand against AWS in September 2019 and then moving its source code of the Apache 2.0 license to the public license on the server side (SSPL) and the elastic license earlier this year.
AWS responded to the elastic changes made by introducing the search for OpenSearch in April and the Elastisearch for a bifurcation. However, it also created a fork of the Visualization Tool for ElasticSearch data Kibana 7.10.2 that called OpenSearch Dashboards.
“The parties are actively involved in the discussions of substantial settlements that seek to resolve this dispute in full, the parties have exchanged multiple iterations of a possible settlement deadline and have significantly reduced the remaining areas in liquidation discussions.”
We will have to wait and see if the legal saga between the two companies will finally end, but now the developers will have the option to use Elastic Elasticsearch or AWS search for their analysis needs.