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Apache Lucene is a free and open-source search engine software library, originally written in Java by Doug Cutting. It is supported by the Apache Software Foundation and is released under the Apache Software License. Lucene is widely used as a standard foundation for production search applications. [2] [3] [4]
Elasticsearch is a search engine based on Apache Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java, [2].NET [3] , PHP, [4] Python, [5] Ruby [6] and many other languages. [7]
Solr runs as a standalone full-text search server. It uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it usable from most popular programming languages. Solr's external configuration allows it to be tailored to many types of applications without Java coding ...
Search engines, including web search engines, ... Open-source desktop search tool for Windows and Linux, based on Apache Lucene: Eclipse Public License: dtSearch Desktop:
Apache Lucene; Apache Solr; ApexKB; Ark; Arrowsmith System; Chomp; Cue; dtSearch Engine; Datafari Enterprise Edition; Elasticsearch; Endeca; ExaSearch; Intergator ...
OpenSearch is a Lucene-based search engine that started as a fork of version 7.10.2 of the Elasticsearch service. [8] [2] It has Elastic NV trademarks and telemetry removed. It is licensed under the Apache License, version 2, [2] without a Contributor License Agreement. The maintainers have made a commitment to remain completely compatible with ...
Prior to developing Lucene, Cutting held search technology positions at Xerox PARC where he worked on the Scatter/Gather algorithm [4] [5] and on computational stylistics. [6] He also worked at Excite, where he was one of the chief designers of the search engine, and Apple Inc., where he was the primary author of the V-Twin text search ...
Nutch originated with Doug Cutting, creator of both Lucene and Hadoop, and Mike Cafarella.. In June, 2003, a successful 100-million-page demonstration system was developed. To meet the multi-machine processing needs of the crawl and index tasks, the Nutch project has also implemented the MapReduce project and a distributed file syste