{"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\/es\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/","title":{"rendered":"Couchbase Capella supera a DynamoDB, MongoDB y Redis en velocidad, funcionalidad y TCO"},"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>Altoros, una reconocida organizaci\u00f3n de consultor\u00eda de TI con una amplia trayectoria en la comparaci\u00f3n de bases de datos, ha publicado su benchmark independiente m\u00e1s reciente, encargado por Couchbase. El benchmark eval\u00faa las soluciones DBaaS ofrecidas por Couchbase, Redis, Amazon y MongoDB. Este estudio utiliza el est\u00e1ndar ampliamente aceptado YCSB para la evaluaci\u00f3n comparativa de bases de datos NoSQL. Este blog presenta un breve resumen de su informe, que demuestra que Couchbase Capella supera a MongoDB Atlas, Redis Enterprise Cloud y Amazon DynamoDB en t\u00e9rminos de caracter\u00edsticas, rendimiento y coste total de propiedad (TCO) en diversas cargas de trabajo y tama\u00f1os de cl\u00faster.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/github.com\/brianfrankcooper\/YCSB\/wiki\">YCSB<\/a> (Yahoo! Cloud Serving Benchmark) es un marco estandarizado utilizado para evaluar el rendimiento de los sistemas de bases de datos basados en la nube. Consiste en una variedad de pruebas de carga de trabajo. Estas son las cargas de trabajo elegidas para este estudio:<\/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 trabajo A<\/b><span style=\"font-weight: 400;\">50% de lectura y 50% de actualizaci\u00f3n: dise\u00f1ado para simular un escenario de carga de trabajo de escritura pesada en el que el sistema de base de datos gestiona principalmente operaciones de lectura con actualizaciones ocasionales.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Carga de trabajo C<\/b><span style=\"font-weight: 400;\">, 100% read: simula un escenario en el que el sistema de base de datos realiza principalmente operaciones de lectura, proporcionando informaci\u00f3n sobre el rendimiento y la escalabilidad del sistema espec\u00edficamente para cargas de trabajo de lectura intensiva.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Carga de trabajo de paginaci\u00f3n<\/b><span style=\"font-weight: 400;\">emula un escenario de recuperaci\u00f3n de datos paginados. En esta carga de trabajo, el sistema de base de datos se eval\u00faa en funci\u00f3n de su capacidad para recuperar eficazmente un subconjunto de datos de un conjunto de datos mayor, normalmente mediante una combinaci\u00f3n de operaciones de lectura y b\u00fasqueda. Ayuda a evaluar el rendimiento del sistema en la gesti\u00f3n de operaciones de paginaci\u00f3n y recuperaci\u00f3n de datos que suelen encontrarse en aplicaciones que requieren la visualizaci\u00f3n de datos en trozos m\u00e1s peque\u00f1os, como una tabla de clasificaci\u00f3n o la implementaci\u00f3n de mecanismos de paginaci\u00f3n para largas series de resultados ordenados.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Carga de trabajo E<\/b><span style=\"font-weight: 400;\">95% de lectura, 5% de actualizaci\u00f3n: dise\u00f1ado para evaluar el rendimiento y la escalabilidad de un sistema de base de datos con una carga de trabajo en la que la mayor\u00eda de las operaciones son de lectura, con una proporci\u00f3n menor de actualizaciones.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2><b>Puntos destacados<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Para ver los resultados, consulta el informe detallado de Altoros. Tenga en cuenta que para este conjunto de pruebas se utiliz\u00f3 el nuevo motor de almacenamiento Magma. (Magma ofrece ventajas de eficiencia y requisitos de memoria reducidos para el almacenamiento de grandes vol\u00famenes de datos, pero para la velocidad 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;\">Tienda de sof\u00e1s<\/span><\/a><span style=\"font-weight: 400;\"> suele ser la mejor opci\u00f3n). He aqu\u00ed algunos puntos destacados.<\/span><\/p>\n<h3><b>Rendimiento<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Como en a\u00f1os anteriores, Couchbase funciona extraordinariamente bien en un caso de uso con muchas actualizaciones, especialmente a medida que aumenta la necesidad de gran escala. Por ejemplo, aqu\u00ed est\u00e1n los resultados de la carga de trabajo 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;\">En estos gr\u00e1ficos, se puede ver que el rendimiento de Capella es el m\u00e1s alto de las 4 ofertas DBaaS. Gracias a la arquitectura memory-first y a la fragmentaci\u00f3n autom\u00e1tica de Capella, la latencia tambi\u00e9n es la m\u00e1s baja de los 4 competidores.<\/span><\/p>\n<h3><b>Funcionalidad<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Merece la pena destacar la carga de trabajo C para un caso de uso de \"cach\u00e9 puro\". Capella y Redis Enterprise Cloud obtienen buenos resultados para esta carga de trabajo debido a sus dise\u00f1os que priorizan la memoria, que pueden almacenar en cach\u00e9 los resultados para obtener una respuesta m\u00e1s r\u00e1pida. MongoDB y DynamoDB necesitan leer datos del disco con m\u00e1s frecuencia y, por lo tanto, su rendimiento no es tan bueno. Hemos visto muchos dise\u00f1os en los que MongoDB se complementa con un sistema similar a Redis para que act\u00fae como cach\u00e9, mientras que Couchbase tiene esta capacidad integrada.<\/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;\">Una vez m\u00e1s, alto rendimiento y baja latencia.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sin embargo, aunque Redis funciona muy bien en el caso de una cach\u00e9 pura, tiene dificultades con otra carga de trabajo: la paginaci\u00f3n.<\/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;\">Al igual que en a\u00f1os anteriores, DynamoDB se queda fuera de esta carga de trabajo, ya que no tiene ninguna capacidad de paginaci\u00f3n en su lenguaje de consulta. Redis s\u00ed tiene capacidades de paginaci\u00f3n, pero su rendimiento es muy deficiente. En una implantaci\u00f3n t\u00edpica de Redis, este tipo de procesamiento se encomendar\u00eda a una base de datos secundaria. Capella maneja muy bien esta carga de trabajo: alto rendimiento, baja latencia y una sintaxis tan sencilla como SQL de <\/span><span style=\"font-weight: 400;\">SELECT . . . LIMITAR . . . OFFSET<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Por otro lado, DynamoDB tiene un buen rendimiento en la carga de trabajo E. Sin embargo, hay algunos otros factores a tener en cuenta con la carga de trabajo E en Dynamo: consulte m\u00e1s detalles en el informe sobre c\u00f3mo se aprovision\u00f3 DynamoDB, el dinero necesario y el comportamiento de DynamoDB con respecto al estrangulamiento y la ampliaci\u00f3n\".<\/span><\/p>\n<h3><b>Coste total de propiedad (TCO)<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">En el caso de una \"cach\u00e9 pura\", Redis se utiliza a menudo junto con otras bases de datos. Obtendr\u00e1s un buen rendimiento de la cach\u00e9, pero al precio de ejecutar dos bases de datos separadas. (Por ejemplo, Redis y Mongo, Redis y Oracle, etc.).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">En cuanto a la rentabilidad, se incluyen gr\u00e1ficos que resumen el coste de cada implantaci\u00f3n de bases de datos en \"d\u00f3lares por mil millones de operaciones\". Por ejemplo, aqu\u00ed est\u00e1 el gr\u00e1fico de la carga de trabajo A (las barras m\u00e1s cortas significan menos costoso):<\/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;\">Cuando leas el informe completo en detalle, ver\u00e1s que Couchbase no siempre gana todos los partidos. Sin embargo, lo que s\u00ed gana es el panorama general: una combinaci\u00f3n ideal de bajo coste, funcionalidad sofisticada y rendimiento (<\/span><a href=\"https:\/\/resources.couchbase.com\/c\/broadjump-case-study?x=s9hNYZ\"><span style=\"font-weight: 400;\">la \"triple amenaza\", como ha declarado nuestro cliente Broadjump<\/span><\/a><span style=\"font-weight: 400;\">).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Couchbase Capella funciona muy bien para la mayor\u00eda de combinaciones de carga de trabajo+cluster. Adem\u00e1s, Capella es una base de datos multimodelo r\u00e1pida y extremadamente vers\u00e1til que incluye:<\/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>Clave-valor<\/strong> - b\u00fasqueda directa a velocidades de memoria<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Almacenamiento en cach\u00e9 integrado<\/strong> - baja latencia, b\u00fasqueda r\u00e1pida<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Documento JSON<\/strong> - datos flexibles<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>SQL<\/strong> - consulta flexible<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>B\u00fasqueda de texto completo<\/strong> - b\u00fasquedas de texto, clasificaci\u00f3n y geoespaciales (sin necesidad de una herramienta independiente como Solr)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Series temporales<\/strong> - almacenados en TS_arrays en JSON con funciones de formato incorporadas<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Sincronizaci\u00f3n m\u00f3vil<\/strong> - autom\u00e1tico y fuera de l\u00ednea con sincronizaci\u00f3n de cliente a cliente, \u00a1tambi\u00e9n!<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Separaci\u00f3n autom\u00e1tica<\/strong> - f\u00e1cil para los desarrolladores y excelente para el crecimiento<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Replicaci\u00f3n y reequilibrio autom\u00e1ticos<\/strong> - f\u00e1cil para las operaciones<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>An\u00e1lisis con SQL<\/strong> - opciones de consulta complejas para BI<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Eventos<\/strong> - l\u00f3gica de tratamiento a nivel de base de datos<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Captura de datos de cambios con Kafka<\/strong> integraci\u00f3n para transmitir los registros de cambios de los documentos<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Teniendo en cuenta todos estos factores, Couchbase Capella proporciona el mejor paquete total de alto rendimiento, funcionalidad sofisticada y menor coste total de propiedad.<\/span><\/p>\n<h2><b>Pr\u00f3ximos pasos<\/b><\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><span style=\"font-weight: 400;\">Aseg\u00farese de leer el <\/span><a href=\"https:\/\/resources.couchbase.com\/capella\/altoros-report-eval-nosql-dbaas\"><span style=\"font-weight: 400;\">informe final de Altoros<\/span><\/a><\/li>\n<li><span style=\"font-weight: 400;\">Pruebe gratis <\/span><a href=\"https:\/\/www.couchbase.com\/blog\/es\/products\/capella\/\"><span style=\"font-weight: 400;\">Couchbase Capella<\/span><\/a><\/li>\n<li><span style=\"font-weight: 400;\">\u00bfTiene preguntas? Consulta el <\/span><a href=\"https:\/\/www.couchbase.com\/blog\/es\/couchbase-on-discord\/\"><span style=\"font-weight: 400;\">Couchbase Discord<\/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>","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"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\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\/es\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\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. This study utilizes the [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/es\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2023-06-05T19:23:02+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-14T03:19:27+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2657\" \/>\n\t<meta property=\"og:image:height\" content=\"1435\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Matthew Groves\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@mgroves\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Matthew Groves\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/\"},\"author\":{\"name\":\"Matthew Groves\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/3929663e372020321b0152dc4fa65a58\"},\"headline\":\"Couchbase Capella Outshines DynamoDB, MongoDB, Redis in Speed, Functionality, and TCO\",\"datePublished\":\"2023-06-05T19:23:02+00:00\",\"dateModified\":\"2025-06-14T03:19:27+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/\"},\"wordCount\":943,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png\",\"keywords\":[\"database TCO\",\"dynamodb\",\"mongodb atlas\",\"redis\",\"ycsb\"],\"articleSection\":[\"Couchbase Architecture\",\"Couchbase Capella\",\"High Performance\"],\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/\",\"url\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/\",\"name\":\"Couchbase Capella Outshines DynamoDB, MongoDB, Redis in Speed, Functionality, and TCO\",\"isPartOf\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png\",\"datePublished\":\"2023-06-05T19:23:02+00:00\",\"dateModified\":\"2025-06-14T03:19:27+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#primaryimage\",\"url\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png\",\"contentUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png\",\"width\":2657,\"height\":1435},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.couchbase.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Couchbase Capella Outshines DynamoDB, MongoDB, Redis in Speed, Functionality, and TCO\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#website\",\"url\":\"https:\/\/www.couchbase.com\/blog\/\",\"name\":\"The Couchbase Blog\",\"description\":\"Couchbase, the NoSQL Database\",\"publisher\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.couchbase.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\",\"name\":\"The Couchbase Blog\",\"url\":\"https:\/\/www.couchbase.com\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png\",\"contentUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png\",\"width\":218,\"height\":34,\"caption\":\"The Couchbase Blog\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/3929663e372020321b0152dc4fa65a58\",\"name\":\"Matthew Groves\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/image\/ba51e6aacc53995c323a634e4502ef54\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/70feb1b28a099ad0112b8d21fe1e81e1a4524beed3e20b7f107d5370e85a07ab?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/70feb1b28a099ad0112b8d21fe1e81e1a4524beed3e20b7f107d5370e85a07ab?s=96&d=mm&r=g\",\"caption\":\"Matthew Groves\"},\"description\":\"Matthew D. Groves is a guy who loves to code. It doesn't matter if it's C#, jQuery, or PHP: he'll submit pull requests for anything. He has been coding professionally ever since he wrote a QuickBASIC point-of-sale app for his parent's pizza shop back in the 90s. He currently works as a Senior Product Marketing Manager for Couchbase. His free time is spent with his family, watching the Reds, and getting involved in the developer community. He is the author of AOP in .NET, Pro Microservices in .NET, a Pluralsight author, and a Microsoft MVP.\",\"sameAs\":[\"https:\/\/crosscuttingconcerns.com\",\"https:\/\/x.com\/mgroves\"],\"url\":\"https:\/\/www.couchbase.com\/blog\/es\/author\/matthew-groves\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Couchbase Capella supera a DynamoDB, MongoDB y Redis en velocidad, funcionalidad y TCO","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.couchbase.com\/blog\/es\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/","og_locale":"es_MX","og_type":"article","og_title":"Couchbase Capella Outshines DynamoDB, MongoDB, Redis in Speed, Functionality, and TCO","og_description":"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;]","og_url":"https:\/\/www.couchbase.com\/blog\/es\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/","og_site_name":"The Couchbase Blog","article_published_time":"2023-06-05T19:23:02+00:00","article_modified_time":"2025-06-14T03:19:27+00:00","og_image":[{"width":2657,"height":1435,"url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png","type":"image\/png"}],"author":"Matthew Groves","twitter_card":"summary_large_image","twitter_creator":"@mgroves","twitter_misc":{"Written by":"Matthew Groves","Est. reading time":"6 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#article","isPartOf":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/"},"author":{"name":"Matthew Groves","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/3929663e372020321b0152dc4fa65a58"},"headline":"Couchbase Capella Outshines DynamoDB, MongoDB, Redis in Speed, Functionality, and TCO","datePublished":"2023-06-05T19:23:02+00:00","dateModified":"2025-06-14T03:19:27+00:00","mainEntityOfPage":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/"},"wordCount":943,"commentCount":0,"publisher":{"@id":"https:\/\/www.couchbase.com\/blog\/#organization"},"image":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#primaryimage"},"thumbnailUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png","keywords":["database TCO","dynamodb","mongodb atlas","redis","ycsb"],"articleSection":["Couchbase Architecture","Couchbase Capella","High Performance"],"inLanguage":"es","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/","url":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/","name":"Couchbase Capella supera a DynamoDB, MongoDB y Redis en velocidad, funcionalidad y TCO","isPartOf":{"@id":"https:\/\/www.couchbase.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#primaryimage"},"image":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#primaryimage"},"thumbnailUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png","datePublished":"2023-06-05T19:23:02+00:00","dateModified":"2025-06-14T03:19:27+00:00","breadcrumb":{"@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#breadcrumb"},"inLanguage":"es","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/"]}]},{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#primaryimage","url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png","contentUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2023\/05\/image_2023-05-26_120537602.png","width":2657,"height":1435},{"@type":"BreadcrumbList","@id":"https:\/\/www.couchbase.com\/blog\/couchbase-capella-outshines-dynamodb-mongodb-redis-speed-functionality-tco\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.couchbase.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Couchbase Capella Outshines DynamoDB, MongoDB, Redis in Speed, Functionality, and TCO"}]},{"@type":"WebSite","@id":"https:\/\/www.couchbase.com\/blog\/#website","url":"https:\/\/www.couchbase.com\/blog\/","name":"El blog de Couchbase","description":"Couchbase, la base de datos NoSQL","publisher":{"@id":"https:\/\/www.couchbase.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.couchbase.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es"},{"@type":"Organization","@id":"https:\/\/www.couchbase.com\/blog\/#organization","name":"El blog de Couchbase","url":"https:\/\/www.couchbase.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png","contentUrl":"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2023\/04\/admin-logo.png","width":218,"height":34,"caption":"The Couchbase Blog"},"image":{"@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/3929663e372020321b0152dc4fa65a58","name":"Matthew Groves","image":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/image\/ba51e6aacc53995c323a634e4502ef54","url":"https:\/\/secure.gravatar.com\/avatar\/70feb1b28a099ad0112b8d21fe1e81e1a4524beed3e20b7f107d5370e85a07ab?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/70feb1b28a099ad0112b8d21fe1e81e1a4524beed3e20b7f107d5370e85a07ab?s=96&d=mm&r=g","caption":"Matthew Groves"},"description":"A Matthew D. Groves le encanta programar. No importa si se trata de C#, jQuery o PHP: enviar\u00e1 pull requests para cualquier cosa. Lleva codificando profesionalmente desde que escribi\u00f3 una aplicaci\u00f3n de punto de venta en QuickBASIC para la pizzer\u00eda de sus padres, all\u00e1 por los a\u00f1os noventa. Actualmente trabaja como Director de Marketing de Producto para Couchbase. Su tiempo libre lo pasa con su familia, viendo a los Reds y participando en la comunidad de desarrolladores. Es autor de AOP in .NET, Pro Microservices in .NET, autor de Pluralsight y MVP de Microsoft.","sameAs":["https:\/\/crosscuttingconcerns.com","https:\/\/x.com\/mgroves"],"url":"https:\/\/www.couchbase.com\/blog\/es\/author\/matthew-groves\/"}]}},"authors":[{"term_id":8937,"user_id":71,"is_guest":0,"slug":"matthew-groves","display_name":"Matthew Groves","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/70feb1b28a099ad0112b8d21fe1e81e1a4524beed3e20b7f107d5370e85a07ab?s=96&d=mm&r=g","first_name":"Matthew","last_name":"Groves","user_url":"https:\/\/crosscuttingconcerns.com","author_category":"","description":"A Matthew D. Groves le encanta programar.  No importa si se trata de C#, jQuery o PHP: enviar\u00e1 pull requests para cualquier cosa.  Lleva codificando profesionalmente desde que escribi\u00f3 una aplicaci\u00f3n de punto de venta en QuickBASIC para la pizzer\u00eda de sus padres, all\u00e1 por los a\u00f1os noventa.  Actualmente trabaja como Director de Marketing de Producto para Couchbase. Su tiempo libre lo pasa con su familia, viendo a los Reds y participando en la comunidad de desarrolladores.  Es autor de AOP in .NET, Pro Microservices in .NET, autor de Pluralsight y MVP de Microsoft."}],"_links":{"self":[{"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/posts\/14436","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/users\/71"}],"replies":[{"embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/comments?post=14436"}],"version-history":[{"count":0,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/posts\/14436\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/media\/14442"}],"wp:attachment":[{"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/media?parent=14436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/categories?post=14436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/tags?post=14436"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.couchbase.com\/blog\/es\/wp-json\/wp\/v2\/ppma_author?post=14436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}