{"id":189,"date":"2024-10-23T16:52:56","date_gmt":"2024-10-23T07:52:56","guid":{"rendered":"https:\/\/www.aicritique.org\/us\/?post_type=kgstart&#038;p=189"},"modified":"2024-10-23T16:52:56","modified_gmt":"2024-10-23T07:52:56","slug":"dgraph","status":"publish","type":"kgstart","link":"https:\/\/www.aicritique.org\/us\/kgstart\/dgraph\/","title":{"rendered":"Dgraph"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Features<\/strong>: Dgraph is a distributed graph database that enables high-throughput data processing. It is designed based on a distributed architecture and has the ability to process large data sets at high speed. It has native GraphQL support, allowing you to efficiently query and manipulate graph data.<br><strong>Use cases<\/strong>: It is used to analyze graph data in social networks, advertising, marketing, and distributed systems. It is particularly effective in systems that require large-scale data processing in real time.<br><strong>URL<\/strong>: https:\/\/dgraph.io\/<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-189","kgstart","type-kgstart","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/kgstart\/189","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/kgstart"}],"about":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/types\/kgstart"}],"wp:attachment":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media?parent=189"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}