• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Couchbase Server     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:WikicatQueryLanguages, within Data Space : dbpedia.org associated with source document(s)

Type: Thingsoftwareschema:CreativeWorkworkwikidata:Q386724Softwareyago:Abstraction100002137yago:Code106355894yago:CodingSystem106353757yago:CommandLanguage106899446yago:Communication100033020yago:DatabaseManagementSystem106588785yago:Language106282651yago:Writing106359877yago:WrittenCommunication106349220yago:Software106566077yago:SourceLanguage106283912yago:WikicatFreeDatabaseManagementSystemsyago:WikicatQueryLanguages New Facet based on Instances of this Class

Couchbase Server, originally known as Membase, is an open-source, distributed (shared-nothing architecture) multi-model NoSQL document-oriented database software package optimized for interactive applications. These applications may serve many concurrent users by creating, storing, retrieving, aggregating, manipulating and presenting data. In support of these kinds of application needs, Couchbase Server is designed to provide easy-to-scale key-value, or JSON document access, with low latency and high sustainability throughput. It is designed to be clustered from a single machine to very large-scale deployments spanning many machines.