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What are the differences between Sphinx, Solr, Elastisearch and Xapian? TL;DR - These are all open-source search engines. T are written in different programming languages, and have made different design decisions. Let me give you the longer version now. A search engine is a program capable of indexing text documents and retrieving them according to a query at a later time. My answer to What is an intuitive description of how Lucene works? gives some more details. The first of these four search products, Xapian, is a search library written in C++. It is partly derived from the Open Muscat engine, developed by BrightStation PLC and released under the GPL v2+. Work on Muscat began in 1984 by Dr. Martin Porter (after he invented the Porter Stemmer) at Cambridge University. Omega seems to be a search engine, based on Xapian, more similar to the other three.  Is a list of projects powered by Xapian. Xapian’s license is GPL V2+. In 1999, Doug Cutting started building Apache Lucene, a search library written in Java. In 2001 he donated it to the Apache Software Foundation. Also in 2001, development of Sphinx Search started. This is a full search engine written in C++, including nice integration with several databases.  has a list of projects powered by Sphinx, including http.//craigslist.com and Joomla Content Management System (CMS). Sphinx is dual-licensed with GPL and a commercial license. Apache Solr was created by Yonik Seeley at CNET in 2004. It is a self-contained search engine using Apache Lucene at its core. It has an Apache License. A list of companies using Solr is at , including Apple, Sears and Zappos. Last but not least, Elasticsearch is another self-contained search engine built around Apache Lucene. Shay Banon released the first version of Elasticsearch in 2010. Written in Java and Scala, it also has an Apache license. Its list of customers is at , and includes Create Editable Pdf and Asana. It has been used successfully for processing logs and for many types of analytics. So from a user’s perspective, which to choose is dependent on. a. License - Solr’s and Elasticsearch’s licenses are simpler for commercial companies wanting to use the search engine as a module in a larger product. b. Functionality - All four support a range of text search functionality. In rare cases you might need something only supported by one of them. c. Integration - Sphinx is a bit better integrated with SQL and NoSQL servers. Both Solr and Elasticsearch offer an HTTP/Json interface. d. Underlying language - the Java engines are a bit more portable. e. Community - Solr’s is a bit stronger than Elasticsearch. Both stronger than the other ones.  The Xapian Project . History  MoreUsers - Xapian  Powered by | Sphinx  Companies Using Lucene/Solr - Lucidworks  Use Cases · Elastic Stack Success Stories
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Sphinx, an open-source search engine The Sphinx documentation offers a good overview of its features and API: Sphinx is an open-sourced search engine, written in C++ and using the Apache Lucene-Indexing-Framework. Sphinx stands apart from similar open-source projects because of a unique syntax which allows the use of its interface on any relational database or data warehouse system supporting the Lucene-Indexing-Framework, such as MySQL, PostgreSQL, HBase, etc. For example, for your search query to be efficient, to use minimal storage space : Sphinx is a search engine, not a database or database management system. Sphinx uses Lucene-Indexing-Framework as a data store for search queries. As opposed to the other search engines, Sphinx does not require special query syntax. The standard query language for Sphinx is C-like, including: Key / Value pairs of text Named results Search queries as SQL-like WHERE, AND OR queries Named sub-queries or nested queries The Sphinx source code is under GPLv2.0, or.
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