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Elasticsearch is a popular open-source search and analytics engine designed to store, search, and analyze large volumes of data in real-time. It is part of the Elastic Stack, which also includes Logstash and Kibana.
Elasticsearch uses a document-oriented approach to store data, which means that it stores data as JSON documents, and indexes each field in the document for fast search and retrieval. It is designed to handle a wide range of use cases, including full-text search, structured search, analytics, and log analysis.
Elasticsearch is known for its distributed architecture, which allows it to scale horizontally across multiple nodes, making it suitable for handling large volumes of data. It also provides a powerful query language, which allows users to perform complex searches and aggregations on their data.
Elasticsearch is used by a wide range of organizations, including businesses, governments, and non-profit organizations, to power search and analytics applications, monitor and analyze system logs, and more.
Apache Solr is an open source Java-based search platform that provides full-text search and faceting functionality. Solr is a highly scalable, distributed, and highly available search solution capable of indexing, searching, and analyzing large volumes of data in real time.
Solr provides a REST API for search and is capable of importing and indexing data from various sources such as JSON, XML, CSV and databases. Solr's search capabilities include full-text search, faceting, geospatial search, autocomplete, and spell checking.
Solr also provides powerful search syntax and query capabilities, including Boolean operators, wildcards, fuzzy search, and phrase search. Solr can also be used to create custom search applications and integrate with other applications.
Apache Solr is supported by a large community of developers and is a widely used tool for search in various industries, including e-commerce, media, healthcare, government, and many others.