Search results
Results from the WOW.Com Content Network
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 ] ( C# ), PHP , [ 4 ] Python , [ 5 ] Ruby [ 6 ] and many other languages. [ 7 ]
It was founded in 2012 in Amsterdam, the Netherlands, and was previously known as Elasticsearch. [ 3 ] The company develops the Elastic Stack— Elasticsearch , Kibana , Beats, and Logstash—previously known as the ELK Stack, [ 4 ] free and paid proprietary features (formerly called X-Pack), Elastic Cloud (a family of SaaS offerings including ...
Kibana also provides a presentation tool, referred to as Canvas, that allows users to create slide decks that pull live data directly from Elasticsearch. [ 5 ] The combination of Elasticsearch, Logstash , and Kibana, referred to as the " Elastic Stack " (formerly the "ELK stack"), is available as a product or service. [ 6 ]
Elasticsearch – an enterprise search server released in 2010 [16] [17] Kinosearch – a search engine written in Perl and C [18] and a loose port of Lucene. [19] The Socialtext wiki software uses this search engine, [18] and so does the MojoMojo wiki. [20] It is also used by the Human Metabolome Database (HMDB) [21] and the Toxin and Toxin ...
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file
Name Language Backend ownership Ask.com: Multilingual Google : Baidu: Chinese: Baidu : Brave Search: Multilingual Brave : Dogpile: English Metasearch engine: DuckDuckGo
The company also provides search and Big Data consulting services and offers production support and training for Solr and Elasticsearch to clients. 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.
Using trigrams for accelerating searches is a technique used in some systems for code searching, in situations in which queries that are regular expressions may be useful, [5] [2] [7] in search engines such as Elasticsearch, [8] as well as in databases such as PostgreSQL. [4]