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Apache Solr
Solr (pronounced "solar") is an open-source enterprise-search platform, written in Java. Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features and rich document (e.g., Word, PDF) handling. Providing distributed search and index replication, Solr is designed for scalability and fault tolerance. Solr is widely used for enterprise search and analytics use cases and has an active development community and regular releases.
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, and it has a plugin architecture to support more advanced customization.
Apache Solr is developed in an open, collaborative manner by the Apache Solr project at the Apache Software Foundation.
In 2004, Solr was created by Yonik Seeley at CNET Networks as an in-house project to add search capability for the company website.
In January 2006, CNET Networks decided to openly publish the source code by donating it to the Apache Software Foundation. Like any new Apache project, it entered an incubation period that helped solve organizational, legal, and financial issues.
In January 2007, Solr graduated from incubation status into a standalone top-level project (TLP) and grew steadily with accumulated features, thereby attracting users, contributors, and committers. Although quite new as a public project, it powered several high-traffic websites.
In September 2008, Solr 1.3 was released including distributed search capabilities and performance enhancements among many others.
In January 2009, Yonik Seeley along with Grant Ingersoll and Erik Hatcher joined Lucidworks (formerly Lucid Imagination), the first company providing commercial support and training for Apache Solr search technologies.[citation needed] Since then, support offerings around Solr have been abundant.
Hub AI
Apache Solr AI simulator
(@Apache Solr_simulator)
Apache Solr
Solr (pronounced "solar") is an open-source enterprise-search platform, written in Java. Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features and rich document (e.g., Word, PDF) handling. Providing distributed search and index replication, Solr is designed for scalability and fault tolerance. Solr is widely used for enterprise search and analytics use cases and has an active development community and regular releases.
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, and it has a plugin architecture to support more advanced customization.
Apache Solr is developed in an open, collaborative manner by the Apache Solr project at the Apache Software Foundation.
In 2004, Solr was created by Yonik Seeley at CNET Networks as an in-house project to add search capability for the company website.
In January 2006, CNET Networks decided to openly publish the source code by donating it to the Apache Software Foundation. Like any new Apache project, it entered an incubation period that helped solve organizational, legal, and financial issues.
In January 2007, Solr graduated from incubation status into a standalone top-level project (TLP) and grew steadily with accumulated features, thereby attracting users, contributors, and committers. Although quite new as a public project, it powered several high-traffic websites.
In September 2008, Solr 1.3 was released including distributed search capabilities and performance enhancements among many others.
In January 2009, Yonik Seeley along with Grant Ingersoll and Erik Hatcher joined Lucidworks (formerly Lucid Imagination), the first company providing commercial support and training for Apache Solr search technologies.[citation needed] Since then, support offerings around Solr have been abundant.