{"id":6586,"date":"2019-03-25T15:29:56","date_gmt":"2019-03-25T22:29:56","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=6586"},"modified":"2025-06-13T23:42:58","modified_gmt":"2025-06-14T06:42:58","slug":"couchbases-n1ql-query-shatters-the-limits-of-mongodb","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/couchbases-n1ql-query-shatters-the-limits-of-mongodb\/","title":{"rendered":"A consulta N1QL do Couchbase rompe os limites do MongoDB\u2122"},"content":{"rendered":"<p>\u00c0 medida que a ado\u00e7\u00e3o do NoSQL cresce, os desenvolvedores e as empresas precisam de um banco de dados de uso geral para reformular seus aplicativos e servi\u00e7os de miss\u00e3o cr\u00edtica. Esses bancos de dados n\u00e3o s\u00e3o mais usados apenas por servi\u00e7os de back-end que precisam de acesso aos dados em menos de um segundo, mas tamb\u00e9m por aplicativos corporativos com requisitos de consulta sujeitos a regras comerciais complexas.<\/p>\n<p>O MongoDB\u2122, um dos primeiros a entrar no espa\u00e7o dos bancos de dados NoSQL, oferece um m\u00e9todo processual para consultar dados. Embora sua abordagem seja eficaz para consultas direcionadas (ou seja, para encontrar documentos com condi\u00e7\u00f5es de filtro espec\u00edficas), ela pode se tornar complexa para consultas que exigem jun\u00e7\u00f5es e agrega\u00e7\u00f5es de documentos. Para possibilitar essas consultas, o MongoDB oferece uma estrutura de agrega\u00e7\u00e3o elaborada que suporta requisitos mais avan\u00e7ados. O desafio dessa abordagem \u00e9 que ela exige um conhecimento espec\u00edfico de programa\u00e7\u00e3o processual que \u00e9 mais adequado \u00e0 comunidade de desenvolvedores do que a outras fun\u00e7\u00f5es de consumidores de dados, como analistas e cientistas de dados.<\/p>\n<p>Aqui est\u00e3o algumas das caracter\u00edsticas inibidoras da estrutura de consulta do MongoDB:<\/p>\n<ul>\n<li>Propriet\u00e1rio - o m\u00e9todo de consulta e a estrutura de agrega\u00e7\u00e3o do MongoDB usam uma constru\u00e7\u00e3o propriet\u00e1ria que exige que os usu\u00e1rios aprendam uma nova linguagem.<\/li>\n<li>Complexo - Embora o m\u00e9todo de consulta do MongoDB seja relativamente simples para uma consulta simples para localizar um documento espec\u00edfico, a estrutura de agrega\u00e7\u00e3o \u00e9 bastante complexa.<\/li>\n<li>Poder expressivo limitado - o MongoDB tem suporte limitado para JOINs e para unir cole\u00e7\u00f5es fragmentadas. Veja isso <a href=\"https:\/\/www.couchbase.com\/blog\/pt\/joining-json-comparing-couchbase-n1ql-mongodb\/\">blog<\/a> comparando o suporte JOIN no Couchbase e no MongoDB.<\/li>\n<li>Otimiza\u00e7\u00e3o limitada de consultas - Como o pipeline de agrega\u00e7\u00e3o \u00e9 processual e carece de poder expressivo, os aplicativos precisam compensar fazendo um processamento de dados complexo no lado do cliente. Isso resulta em complexidade e baixo desempenho.<\/li>\n<\/ul>\n<p>O Couchbase chegou ao mercado NoSQL alguns anos depois do MongoDB e adotou uma abordagem diferente. O Couchbase adota um padr\u00e3o mais aberto de SQL e estende a linguagem SQL para dar suporte ao seu banco de dados JSON. A linguagem baseada em SQL do Couchbase para JSON (N1QL) traz o poder expressivo do SQL para a plataforma de dados do Couchbase. Ela oferece suporte a constru\u00e7\u00f5es de jun\u00e7\u00e3o ANSI, bem como recursos avan\u00e7ados de otimiza\u00e7\u00e3o de consultas e indexa\u00e7\u00e3o que s\u00e3o dimensionados para suportar os requisitos de desempenho dos aplicativos comerciais cr\u00edticos atuais.<\/p>\n<p>Fa\u00e7a o download <a href=\"https:\/\/resources.couchbase.com\/c\/cbvm-query?x=gMxyf9\">whitepaper<\/a> para saber mais sobre o Couchbase N1QL e seu desempenho extremamente r\u00e1pido.<\/p>","protected":false},"excerpt":{"rendered":"<p>As NoSQL adoption grows, developers and enterprises alike require a general purpose database to replatform their mission-critical applications and services. These databases are no longer used only by backend services that need sub-second access to the data, but also by [&hellip;]<\/p>","protected":false},"author":26326,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1814,1815,1812],"tags":[],"ppma_author":[8919],"class_list":["post-6586","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-application-design","category-best-practices-and-tutorials","category-n1ql-query"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Couchbase\u2019s N1QL Query Shatters the Limits of MongoDB\u2122<\/title>\n<meta name=\"description\" content=\"See how Couchbase\u2019s SQL-based language for JSON (N1QL), brings the expressive power of SQL to 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