OpenSearch was created in 2021 by Amazon Web Services (AWS) as a fork of the Elasticsearch and Kibana projects. AWS initiated the development of OpenSearch after Elastic NV changed the licensing of Elasticsearch and Kibana from open-source to a more restrictive license. The goal was to provide a truly open-source alternative that maintained compatibility with existing Elasticsearch APIs while fostering community-driven development and innovation.
OpenSearch
OpenSearch is an open-source search and analytics engine designed for applications such as log analytics, real-time application monitoring, and search functionalities. It enables users to index, search, and analyze large volumes of data quickly and in near real-time. OpenSearch supports complex queries and provides powerful features like full-text search, structured search, aggregations, and various plugins for extended capabilities.
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About OpenSearch
Strengths of OpenSearch include its open-source nature, strong community support, compatibility with Elasticsearch APIs, and robust features for search and analytics. Weaknesses may involve potential challenges in migrating from other platforms and reliance on community contributions for development. Competitors include Elasticsearch, Apache Solr, and Splunk.
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How to hire a OpenSearch expert
An OpenSearch expert must have strong skills in search engine technologies, proficiency in data indexing and querying, and experience with JSON and RESTful APIs. They should be adept at configuring and managing OpenSearch clusters, tuning performance, and implementing security best practices. Familiarity with data visualization tools, such as Kibana or OpenSearch Dashboards, is also essential. Knowledge of scripting languages like Python or JavaScript for automation and integration tasks is beneficial.
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