{"id":14436,"date":"2023-06-05T12:23:02","date_gmt":"2023-06-05T19:23:02","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=14436"},"modified":"2025-06-13T20:19:27","modified_gmt":"2025-06-14T03:19:27","slug":"couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/","title":{"rendered":"O Couchbase Capella supera o DynamoDB, o MongoDB e o Redis em velocidade, funcionalidade e custo total de propriedade"},"content":{"rendered":"<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/resources.couchbase.com\/capella\/altoros-report-eval-nosql-dbaas\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-14455 alignright\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2024\/05\/image_2023-05-31_121949585-768x998.png\" alt=\"\" width=\"426\" height=\"554\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/05\/image_2023-05-31_121949585-768x998.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/05\/image_2023-05-31_121949585-231x300.png 231w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/05\/image_2023-05-31_121949585-788x1024.png 788w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/05\/image_2023-05-31_121949585-1182x1536.png 1182w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/05\/image_2023-05-31_121949585-300x390.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/05\/image_2023-05-31_121949585-1320x1715.png 1320w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/05\/image_2023-05-31_121949585.png 1482w\" sizes=\"auto, (max-width: 426px) 100vw, 426px\" \/><\/a>A Altoros, uma renomada organiza\u00e7\u00e3o de consultoria de TI com um extenso hist\u00f3rico de compara\u00e7\u00e3o de bancos de dados, publicou seu mais recente benchmark independente, encomendado pela Couchbase. O benchmark avalia as solu\u00e7\u00f5es DBaaS oferecidas pela Couchbase, Redis, Amazon e MongoDB. Esse estudo utiliza o padr\u00e3o YCSB amplamente aceito para avaliar bancos de dados NoSQL. Este blog apresenta um breve resumo do relat\u00f3rio, que demonstra que o Couchbase Capella supera o MongoDB Atlas, o Redis Enterprise Cloud e o Amazon DynamoDB em termos de recursos, desempenho e custo total de propriedade (TCO) em diversas cargas de trabalho e tamanhos de cluster.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/github.com\/brianfrankcooper\/YCSB\/wiki\">YCSB<\/a> (Yahoo! Cloud Serving Benchmark) \u00e9 uma estrutura padronizada usada para avaliar o desempenho de sistemas de banco de dados baseados em nuvem. Ele consiste em uma variedade de testes de carga de trabalho. Aqui est\u00e3o as cargas de trabalho escolhidas para este estudo:<\/span><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Carga de trabalho A<\/b><span style=\"font-weight: 400;\">, 50% de leitura e 50% de atualiza\u00e7\u00e3o: projetado para simular um cen\u00e1rio de carga de trabalho de grava\u00e7\u00e3o pesada em que o sistema de banco de dados lida principalmente com opera\u00e7\u00f5es de leitura com atualiza\u00e7\u00f5es ocasionais.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Carga de trabalho C<\/b><span style=\"font-weight: 400;\">, 100% read: simula um cen\u00e1rio em que o sistema de banco de dados executa principalmente opera\u00e7\u00f5es de leitura, fornecendo insights sobre o desempenho e a escalabilidade do sistema especificamente para cargas de trabalho com uso intensivo de leitura.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Carga de trabalho de pagina\u00e7\u00e3o<\/b><span style=\"font-weight: 400;\">A carga de trabalho de banco de dados de dados de dados \u00e9 a seguinte: emula um cen\u00e1rio que envolve a recupera\u00e7\u00e3o de dados paginados. Nessa carga de trabalho, o sistema de banco de dados \u00e9 avaliado com base em sua capacidade de buscar com efici\u00eancia um subconjunto de dados de um conjunto de dados maior, normalmente por meio de uma combina\u00e7\u00e3o de opera\u00e7\u00f5es de leitura e busca. Isso ajuda a avaliar o desempenho do sistema no tratamento de opera\u00e7\u00f5es de pagina\u00e7\u00e3o e recupera\u00e7\u00e3o de dados comumente encontradas em aplicativos que exigem a exibi\u00e7\u00e3o de dados em partes menores, como um quadro de l\u00edderes ou a implementa\u00e7\u00e3o de mecanismos de pagina\u00e7\u00e3o para longas s\u00e9ries de resultados ordenados.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Carga de trabalho E<\/b><span style=\"font-weight: 400;\">, 95% leitura, 5% atualiza\u00e7\u00e3o: projetado para avaliar o desempenho e a escalabilidade de um sistema de banco de dados em uma carga de trabalho em que a maioria das opera\u00e7\u00f5es s\u00e3o leituras, com uma propor\u00e7\u00e3o menor de atualiza\u00e7\u00f5es.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2><b>Destaques do Benchmark<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Para obter os resultados, n\u00e3o deixe de conferir o relat\u00f3rio detalhado da Altoros. Observe que o novo mecanismo de armazenamento Magma foi usado para esse conjunto de benchmarks. (O Magma tem benef\u00edcios de efici\u00eancia e requisitos de mem\u00f3ria reduzidos para armazenamento de dados grandes, mas para velocidade pura <\/span><a href=\"https:\/\/docs.couchbase.com\/server\/current\/learn\/buckets-memory-and-storage\/storage-engines.html#couchstore-and-magma-at-a-glance\"><span style=\"font-weight: 400;\">Loja de sof\u00e1s<\/span><\/a><span style=\"font-weight: 400;\"> geralmente ser\u00e1 a melhor op\u00e7\u00e3o). Aqui est\u00e3o alguns destaques.<\/span><\/p>\n<h3><b>Desempenho<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Como nos anos anteriores, o Couchbase se sai extraordinariamente bem em um caso de uso com muitas atualiza\u00e7\u00f5es, especialmente quando a necessidade de grande escala aumenta. Por exemplo, aqui est\u00e3o os resultados da Carga de Trabalho A:<\/span><\/p>\n<p><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/05\/image_2023-05-26_114744585.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-14437 size-large\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/05\/image_2023-05-26_114744585-1024x335.png\" alt=\"\" width=\"900\" height=\"294\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_114744585-1024x335.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_114744585-300x98.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_114744585-768x251.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_114744585-1536x503.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_114744585-2048x671.png 2048w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_114744585-1320x432.png 1320w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Nesses gr\u00e1ficos, voc\u00ea pode ver que a taxa de transfer\u00eancia do Capella \u00e9 a mais alta de todas as quatro ofertas de DBaaS. Devido \u00e0 arquitetura memory-first da Capella e \u00e0 fragmenta\u00e7\u00e3o autom\u00e1tica, a lat\u00eancia tamb\u00e9m \u00e9 a mais baixa entre os quatro concorrentes.<\/span><\/p>\n<h3><b>Funcionalidade<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Vale a pena destacar a carga de trabalho C para um caso de uso de \"cache puro\". O Capella e o Redis Enterprise Cloud t\u00eam um bom desempenho para essa carga de trabalho devido a seus projetos que priorizam a mem\u00f3ria, que podem armazenar em cache os resultados para uma resposta mais r\u00e1pida. O MongoDB e o DynamoDB precisam ler os dados do disco com mais frequ\u00eancia e, portanto, n\u00e3o t\u00eam um desempenho t\u00e3o bom. Vimos muitos projetos em que o MongoDB \u00e9 ampliado com um sistema semelhante ao Redis para atuar como cache, enquanto o Couchbase tem esse recurso incorporado.<\/span><\/p>\n<p><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/05\/image_2023-05-26_115127566.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-14438\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/05\/image_2023-05-26_115127566-1024x339.png\" alt=\"\" width=\"900\" height=\"298\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115127566-1024x339.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115127566-300x99.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115127566-768x254.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115127566-1536x509.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115127566-2048x678.png 2048w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115127566-1320x437.png 1320w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Mais uma vez, alta taxa de transfer\u00eancia e baixa lat\u00eancia.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">No entanto, embora o Redis tenha um desempenho muito bom no caso de um cache puro, ele tem dificuldades com outra carga de trabalho: pagina\u00e7\u00e3o.<\/span><\/p>\n<p><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/05\/image_2023-05-26_115319799.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-14439\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/05\/image_2023-05-26_115319799-1024x291.png\" alt=\"\" width=\"900\" height=\"256\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115319799-1024x291.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115319799-300x85.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115319799-768x218.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115319799-1536x437.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115319799-2048x582.png 2048w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115319799-1320x375.png 1320w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Como nos anos anteriores, o DynamoDB foi deixado de fora dessa carga de trabalho, pois n\u00e3o tem nenhum recurso de pagina\u00e7\u00e3o em sua linguagem de consulta. O Redis tem recursos de pagina\u00e7\u00e3o, mas seu desempenho \u00e9 muito ruim. Em uma implanta\u00e7\u00e3o t\u00edpica do Redis, esse tipo de processamento seria transferido para um banco de dados secund\u00e1rio. O Capella lida muito bem com essa carga de trabalho: alta taxa de transfer\u00eancia, baixa lat\u00eancia e sintaxe SQL f\u00e1cil de <\/span><span style=\"font-weight: 400;\">SELECT . . . LIMIT . . . OFFSET<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Por outro lado, o DynamoDB tem um bom desempenho na Carga de Trabalho E. No entanto, h\u00e1 alguns outros fatores a serem considerados com a Carga de Trabalho E no Dynamo: veja mais detalhes no relat\u00f3rio sobre como o DynamoDB foi provisionado, o dinheiro necess\u00e1rio e o comportamento do DynamoDB com rela\u00e7\u00e3o \u00e0 limita\u00e7\u00e3o e ao aumento de escala.<\/span><\/p>\n<h3><b>Custo total de propriedade (TCO)<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">No caso de um \"cache puro\", o Redis \u00e9 frequentemente usado em conjunto com outros bancos de dados. Voc\u00ea obter\u00e1 um bom desempenho do cache, mas ao pre\u00e7o de executar dois bancos de dados separados. (Por exemplo, Redis e Mongo, Redis e Oracle, etc.).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Com rela\u00e7\u00e3o \u00e0 \"rentabilidade\", h\u00e1 gr\u00e1ficos inclu\u00eddos que resumem o custo de cada implanta\u00e7\u00e3o de banco de dados em \"d\u00f3lares por bilh\u00e3o de opera\u00e7\u00f5es\". Por exemplo, aqui est\u00e1 o gr\u00e1fico da carga de trabalho A (barras mais curtas significam menos caro):<\/span><\/p>\n<p><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/05\/image_2023-05-26_115402347.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-14440\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/05\/image_2023-05-26_115402347-1024x658.png\" alt=\"\" width=\"900\" height=\"578\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115402347-1024x658.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115402347-300x193.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115402347-768x494.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115402347-1536x987.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115402347-1320x848.png 1320w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_115402347.png 1895w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Ao ler o relat\u00f3rio completo em detalhes, voc\u00ea ver\u00e1 que o Couchbase nem sempre vence todos os confrontos. No entanto, o que ele ganha \u00e9 o quadro geral: uma combina\u00e7\u00e3o ideal de baixo custo, funcionalidade sofisticada e desempenho (<\/span><a href=\"https:\/\/resources.couchbase.com\/c\/broadjump-case-study?x=s9hNYZ\"><span style=\"font-weight: 400;\">a \"amea\u00e7a tripla\", como afirmou nosso cliente Broadjump<\/span><\/a><span style=\"font-weight: 400;\">).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">O Couchbase Capella se sai muito bem na maioria das combina\u00e7\u00f5es de carga de trabalho + cluster. Al\u00e9m disso, o Capella \u00e9 um banco de dados multimodelo r\u00e1pido e extremamente vers\u00e1til que inclui:<\/span><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Valor-chave<\/strong> - pesquisa direta em velocidades de mem\u00f3ria<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Armazenamento em cache incorporado<\/strong> - baixa lat\u00eancia, pesquisa r\u00e1pida<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Documento JSON<\/strong> - dados flex\u00edveis<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>SQL++<\/strong> - consulta flex\u00edvel<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Pesquisa de texto completo<\/strong> - pesquisas de texto, classifica\u00e7\u00e3o e geoespaciais (sem a necessidade de uma ferramenta separada, como o Solr)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>S\u00e9ries temporais<\/strong> - armazenados em TS_arrays em JSON com fun\u00e7\u00f5es de formata\u00e7\u00e3o incorporadas<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Sincroniza\u00e7\u00e3o m\u00f3vel<\/strong> - autom\u00e1tico e off-line primeiro com sincroniza\u00e7\u00e3o de cliente para cliente, tamb\u00e9m!<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Sharding\/particionamento autom\u00e1tico<\/strong> - f\u00e1cil para os desenvolvedores e excelente para o crescimento<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Replica\u00e7\u00e3o e rebalanceamento autom\u00e1ticos<\/strong> - f\u00e1cil para as opera\u00e7\u00f5es<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>An\u00e1lise com SQL++<\/strong> - op\u00e7\u00f5es de consulta complexas para BI<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Eventos<\/strong> - l\u00f3gica de processamento no n\u00edvel do banco de dados<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Captura de dados de altera\u00e7\u00f5es com o Kafka<\/strong> integra\u00e7\u00e3o para transmitir registros de altera\u00e7\u00f5es de documentos<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Levando em considera\u00e7\u00e3o todos esses fatores, o Couchbase Capella oferece o melhor pacote total de alto desempenho, funcionalidade sofisticada e menor custo total de propriedade.<\/span><\/p>\n<h2><b>Pr\u00f3ximas etapas<\/b><\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><span style=\"font-weight: 400;\">Certifique-se de ler o <\/span><a href=\"https:\/\/resources.couchbase.com\/capella\/altoros-report-eval-nosql-dbaas\"><span style=\"font-weight: 400;\">relat\u00f3rio final da Altoros<\/span><\/a><\/li>\n<li><span style=\"font-weight: 400;\">Inscreva-se para uma avalia\u00e7\u00e3o gratuita do <\/span><a href=\"https:\/\/www.couchbase.com\/blog\/pt\/products\/capella\/\"><span style=\"font-weight: 400;\">Couchbase Capella<\/span><\/a><\/li>\n<li><span style=\"font-weight: 400;\">Tem d\u00favidas? D\u00ea uma olhada na se\u00e7\u00e3o <\/span><a href=\"https:\/\/www.couchbase.com\/blog\/pt\/couchbase-on-discord\/\"><span style=\"font-weight: 400;\">Disc\u00f3rdia do Couchbase<\/span><\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Altoros, a renowned IT consulting organization with an extensive history in database comparison, has published their most recent independent benchmark, commissioned by Couchbase. The benchmark evaluates the DBaaS solutions offered by Couchbase, Redis, Amazon, and MongoDB. This study utilizes the [&hellip;]<\/p>\n","protected":false},"author":71,"featured_media":14442,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1821,2225,9417],"tags":[9632,9817,9694,9818,2278],"ppma_author":[8937],"class_list":["post-14436","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-couchbase-architecture","category-cloud","category-performance","tag-database-tco","tag-dynamodb","tag-mongodb-atlas","tag-redis","tag-ycsb"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Couchbase Capella Outshines DynamoDB, MongoDB, Redis in Speed, Functionality, and TCO<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/pt\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Couchbase Capella Outshines DynamoDB, MongoDB, Redis in Speed, Functionality, and TCO\" \/>\n<meta property=\"og:description\" content=\"Altoros, a renowned IT consulting organization with an extensive history in database comparison, has published their most recent independent benchmark, commissioned by Couchbase. The benchmark evaluates the DBaaS solutions offered by Couchbase, Redis, Amazon, and MongoDB. 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