{"id":6370,"date":"2019-02-05T15:34:07","date_gmt":"2019-02-05T23:34:07","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=6370"},"modified":"2023-12-08T12:03:47","modified_gmt":"2023-12-08T20:03:47","slug":"couchbase-better-scale-out-agility-and-high-availability-than-mongodb","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/couchbase-better-scale-out-agility-and-high-availability-than-mongodb\/","title":{"rendered":"Couchbase - Mejor escalabilidad, agilidad y alta disponibilidad que MongoDB"},"content":{"rendered":"<p><span style=\"font-weight: 400\">La revoluci\u00f3n NoSQL naci\u00f3 en 2006 con la publicaci\u00f3n del <\/span><a href=\"https:\/\/static.googleusercontent.com\/media\/research.google.com\/en\/\/archive\/bigtable-osdi06.pdf\"><span style=\"font-weight: 400\">Documento Google BigTable<\/span><\/a><span style=\"font-weight: 400\"> ya que las aplicaciones a escala de Internet no pod\u00edan obtener el rendimiento, la agilidad y la disponibilidad que necesitaban de bases de datos relacionales como Oracle. Las siguientes son ahora consideraciones clave para las aplicaciones modernas:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Escalabilidad en hardware b\u00e1sico para crecer con la empresa y soportar millones de operaciones\/segundo con latencias inferiores al milisegundo.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Flexibilidad del modelo de datos y de los patrones de acceso para que la base de datos pueda cambiar con un entorno empresarial en r\u00e1pida evoluci\u00f3n.\u00a0\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Disponibilidad 24\u00d77, ya que incluso unos segundos de inactividad significan p\u00e9rdida de clientes e ingresos<\/span><\/li>\n<\/ul>\n<p>MongoDB, uno de los primeros participantes en el espacio NoSQL, ha cosechado \u00e9xitos a pesar de importantes deficiencias en su capacidad de escalabilidad, flexibilidad de acceso o alta disponibilidad a un coste razonable. Couchbase, un participante algo posterior en el mercado NoSQL, con una arquitectura distribuida desde el primer d\u00eda, ofrece escalabilidad, flexibilidad y alta disponibilidad a un coste razonable. <a href=\"https:\/\/www.couchbase.com\/blog\/es\/combine-clusters-to-achieve-high-availability\/\">alta disponibilidad<\/a> mucho mejor que MongoDB. Couchbase tiene muchos clientes que, o bien lo eligieron en lugar de MongoDB en bake-offs, o se cambiaron una vez que se dieron cuenta de que MongoDB no era capaz de mantener el ritmo. Uno de estos clientes es <a href=\"https:\/\/www.viber.com\/\">Viber<\/a>una plataforma global de mensajer\u00eda, que cambi\u00f3 MongoDB por Couchbase:<\/p>\n<p><i><span style=\"font-weight: 400\">\"Descubrimos que la tecnolog\u00eda NoSQL de MongoDB no pod\u00eda soportar adecuadamente las crecientes necesidades de gesti\u00f3n de datos de la empresa. Despu\u00e9s de investigar m\u00faltiples tecnolog\u00edas de bases de datos, como Cassandra y DynamoDB de Amazon, incluyendo m\u00e1s combinaciones de base de datos m\u00e1s capas de almacenamiento en cach\u00e9, implantamos Couchbase. Con Couchbase, ahora podemos gestionar cientos de miles de operaciones por segundo, un orden de magnitud m\u00e1s que nuestra soluci\u00f3n anterior\".\u00a0\u00a0<\/span><\/i><i><span style=\"font-weight: 400\">Amir Ish-Shalom, Arquitecto Jefe, Viber<\/span><\/i><\/p>\n<h2>Descubra por qu\u00e9 Couchbase es mejor<\/h2>\n<p><span style=\"font-weight: 400\">Algunos de los aspectos m\u00e1s destacados de c\u00f3mo Couchbase es mejor para scale-out, agilidad y alta disponibilidad son:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Couchbase tiene fragmentaci\u00f3n autom\u00e1tica frente a la fragmentaci\u00f3n manual (y laboriosa) de MongoDB, donde hay que elegir una clave de fragmentaci\u00f3n por colecci\u00f3n.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Couchbase es flexible y se adapta a nuevas cargas de trabajo permitiendo \u00edndices secundarios globales que se particionan de forma diferente a los datos. MongoDB es r\u00edgido y solo est\u00e1 optimizado para un \u00fanico patr\u00f3n de acceso: el resto de patrones de acceso se dispersan por todos los nodos.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Couchbase es agn\u00f3stico a la escala y todas las caracter\u00edsticas funcionan a todos los niveles de escala. MongoDB, por otro lado, est\u00e1 orientado a una configuraci\u00f3n de un solo disco y muchas caracter\u00edsticas cr\u00edticas como Joins y Grouping no funcionan en configuraciones de varios discos.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Couchbase puede ampliarse simplemente a\u00f1adiendo un \u00fanico nodo. MongoDB, por otro lado, requiere la adici\u00f3n de al menos 3 nodos para a\u00f1adir otro fragmento al cl\u00faster, lo que se traduce en un coste total de propiedad muy elevado.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">El failover autom\u00e1tico de Couchbase es muy r\u00e1pido y robusto ya que se basa en m\u00faltiples se\u00f1ales de liveness. La conmutaci\u00f3n por error de MongoDB es mucho m\u00e1s lenta y fr\u00e1gil, ya que se basa \u00fanicamente en los latidos entre los nodos del conjunto de r\u00e9plicas.<\/span><\/li>\n<\/ul>\n<p>Hay muchas m\u00e1s razones por las que Couchbase es mejor para la escalabilidad y el tiempo de actividad, por lo que te animamos a que descargues el whitepaper del siguiente enlace y decidas por ti mismo.<\/p>\n<p><a href=\"https:\/\/resources.couchbase.com\/c\/cbvm_scaleout_highavail?x=gMxyf9\"><strong>Couchbase Better Than MongoDB - Informe sobre escalabilidad y HA<\/strong><\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>The NoSQL revolution was born in 2006 with the publication of the Google BigTable paper as internet scale applications could not get the performance, agility and availability they needed from relational databases like Oracle. The following are now key considerations [&hellip;]<\/p>","protected":false},"author":31463,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1821,1816],"tags":[],"ppma_author":[9079],"class_list":["post-6370","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-couchbase-architecture","category-couchbase-server"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.1 (Yoast SEO v26.1.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Couchbase Better Than MongoDB - Scale-Out And HA<\/title>\n<meta name=\"description\" content=\"Couchbase provides better scale-out, flexibility &amp; high availability than MongoDB because of its architectural choices. 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