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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 [2] and rich document (e.g., Word, PDF) handling.
JanusGraph supports geo, numeric range, and full-text search via external index storages (ElasticSearch, Apache Solr, Apache Lucene). [ 8 ] JanusGraph has native integration with the Apache TinkerPop [ 9 ] graph stack ( Gremlin graph query language , Gremlin graph server , Gremlin applications ).
Upgrade of Apache Lucene, bug fixes and a rollup of changes from 3.10.x minors. 3.10.4 October 2015 Upgrade of Morfologik library. 3.10.3 August 2015 Repackaged Google Guava to avoid conflicts in Solr. 3.10.2 July 2015 Minor fixes to the Workbench (Arabic cluster display). 3.10.1 May 2015 Aduna visualization dropped from MacOS distribution.
In March 2010, the Apache Solr search server joined as a Lucene sub-project, merging the developer communities. Version 4.0 was released on October 12, 2012. [9] In March 2021, Lucene changed its logo, and Apache Solr became a top level Apache project again, independent from Lucene.
The company markets its core products to engineers and DevOps and its services to organizations using Elasticsearch, Solr, Lucene, Hadoop, HBase, Docker, Spark, Kafka, and other platforms. Otis Gospodnetić (the co-author of Lucene in Action, the founder of Simpy , and committer on Lucene , Solr , Nutch , Apache Mahout , and Open Relevance ...
Apache Lucene; Apache Solr; ApexKB; Ark; Arrowsmith System; Chomp; Cue; dtSearch Engine; Datafari Enterprise Edition; Elasticsearch; Endeca; ExaSearch; Intergator ...
Apart from the core components, the project also provides external resources, like for instance spout and bolts for Elasticsearch and Apache Solr or a ParserBolt which uses Apache Tika to parse various document formats. The project is used by various organisations, [2] notably Common Crawl [3] for generating a large and publicly available ...
The central concept of a document-oriented database is the notion of a document.While each document-oriented database implementation differs on the details of this definition, in general, they all assume documents encapsulate and encode data (or information) in some standard format or encoding.