{"id":8258,"date":"2020-03-06T09:17:24","date_gmt":"2020-03-06T17:17:24","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=8258"},"modified":"2025-06-13T18:44:29","modified_gmt":"2025-06-14T01:44:29","slug":"sql-to-nosql-7-metrics-to-compare-query-language","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/sql-to-nosql-7-metrics-to-compare-query-language\/","title":{"rendered":"Comparaci\u00f3n de 3 lenguajes de consulta NoSQL en 7 m\u00e9tricas"},"content":{"rendered":"<p><span style=\"font-weight: 400\">Las organizaciones que desean aprovechar las numerosas ventajas de las bases de datos documentales NoSQL, a menudo se encuentran con dos retos:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">C\u00f3mo convertir sus esquemas RDBMS para aprovechar el modelo de documento sin esquema.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Aprender una nueva API\/Query para acceder a los datos.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Algunos tambi\u00e9n encuentran la confusi\u00f3n con el nombre NoSQL. La abreviatura significa 'No s\u00f3lo SQL', pero tambi\u00e9n puede malinterpretarse como 'No al SQL', aceptando as\u00ed que para utilizar un <a href=\"https:\/\/www.couchbase.com\/blog\/es\/resources\/why-nosql\/\">Base de datos NoSQL<\/a>Por lo tanto, las organizaciones no s\u00f3lo tendr\u00e1n que convertir su modelo de datos relacional en el modelo documental, sino tambi\u00e9n formarse en las API de la base de datos NoSQL que elijan.<\/span><\/p>\n<p><span style=\"font-weight: 400\">En realidad, la industria de las bases de datos NoSQL nunca ha abandonado el acceso a datos m\u00e1s popular para las bases de datos. Muchos proveedores de NoSQL siguen utilizando una variaci\u00f3n de SQL. <\/span><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cosmos-db\/sql-query-getting-started\"><span style=\"font-weight: 400\">Cosmos DB<\/span><\/a><span style=\"font-weight: 400\">, <\/span><a href=\"https:\/\/cassandra.apache.org\/doc\/latest\/cql\/\"><span style=\"font-weight: 400\">Cassandra CQL<\/span><\/a><span style=\"font-weight: 400\">, <\/span><a href=\"https:\/\/www.elastic.co\/guide\/en\/elasticsearch\/reference\/current\/sql-overview.html\"><span style=\"font-weight: 400\">Elasticsearch SQL<\/span><\/a><span style=\"font-weight: 400\">, <\/span><a href=\"https:\/\/www.cockroachlabs.com\/docs\/stable\/learn-cockroachdb-sql.html\"><span style=\"font-weight: 400\">Laboratorios Cucaracha<\/span><\/a><span style=\"font-weight: 400\">. Incluso con <\/span><a href=\"https:\/\/docs.mongodb.com\/manual\/reference\/operator\/query\/\"><span style=\"font-weight: 400\">Consulta en Mongodb<\/span><\/a><span style=\"font-weight: 400\"> encontrar\u00e1 que se basa en la construcci\u00f3n select-join-project, que es la base del \u00e1lgebra relacional que se utiliza en SQL.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Una empresa de bases de datos del espacio NoSQL que ha abordado de lleno esta cuesti\u00f3n del lenguaje de consulta es <a href=\"https:\/\/www.couchbase.com\/blog\/es\/\">Couchbase<\/a>. Mientras que Couchbase almacena los datos en el formato nativo JSON, el modelo de datos que soporta puede ser relacional o de estructura jer\u00e1rquica, que a menudo se utiliza en el modelo basado en documentos por su flexibilidad de esquema y extensibilidad. Esto es posible porque Couchbase proporciona un <a href=\"https:\/\/www.couchbase.com\/blog\/es\/products\/n1ql\/\">SQL<\/a>-N1QL, que ampl\u00eda el lenguaje SQL para permitir a los usuarios manipular la naturaleza jer\u00e1rquica del modelo documental. Todo ello se basa en el servicio de datos de alto rendimiento Couchbase con sus API de clave-valor.<\/span><\/p>\n<p>Las organizaciones que desean asegurarse de que sus inversiones en bases de datos aprovechan las ventajas que ofrecen actualmente las <strong><a href=\"https:\/\/www.couchbase.com\/blog\/es\/resources\/why-nosql\/\">Tecnolog\u00eda NoSQL<\/a><\/strong> debe tener en cuenta:<\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Soporte de datos estructurados y no estructurados\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Escalabilidad horizontal<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Evoluci\u00f3n de esquemas f\u00e1cil de gestionar<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Quiz\u00e1 la m\u00e1s importante de todas sea la posibilidad de elegir proveedor, m\u00e1s all\u00e1 de los actuales proveedores de RDBMS que han dominado el mercado de bases de datos durante las tres \u00faltimas d\u00e9cadas.<\/span><\/li>\n<\/ul>\n<p>Para ayudar a los clientes en su decisi\u00f3n, Altoros -una empresa que se centra en ayudar a las empresas a pasar de su sistema inform\u00e1tico heredado al futuro- ha publicado un <a href=\"https:\/\/resources.couchbase.com\/c\/altoros-database-query-report?x=N-I_ik\">informe<\/a> para comparar el lenguaje de consulta en las bases de datos m\u00e1s populares de la actualidad. Se ha optado por centrarse en <a href=\"https:\/\/www.mysql.com\/\">MySQL\/SQL<\/a>, <a href=\"https:\/\/www.couchbase.com\/blog\/es\/products\/n1ql\/\">Couchbase N1QL<\/a>y <a href=\"https:\/\/docs.mongodb.com\/manual\/reference\/operator\/query\/\">Consulta MongoDB<\/a> lenguajes. Se evaluaron las implementaciones de cada lenguaje de consulta para responder a los distintos escenarios de consulta utilizando las siguientes m\u00e9tricas.<\/p>\n<ol>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Simplicidad<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Legibilidad<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Expresividad<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Flexibilidad<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Disponibilidad de competencias<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">L\u00ednea de c\u00f3digos<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">N\u00famero de viajes de la aplicaci\u00f3n al servidor<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400\">Puede obtener m\u00e1s detalles de este informe en el <\/span><a href=\"https:\/\/www.altoros.com\/search?s=Couchbase&amp;src=blog\"><span style=\"font-weight: 400\">P\u00e1gina web de Altoros<\/span><\/a>y tambi\u00e9n est\u00e1 disponible aqu\u00ed <a href=\"https:\/\/resources.couchbase.com\/c\/altoros-database-query-report\"><strong>lo que hay en la columna \"Nuevo\".<\/strong><\/a><\/p>\n<p>Todos los ejemplos de lenguaje NoSQL de consultas y volcados de bases de datos que pueden ayudar a desplegar y ejecutar todos los escenarios de este informe se pueden encontrar en este repositorio de GitHub.<\/p>\n<h2><b>Metodolog\u00eda del informe Altoros<\/b><\/h2>\n<p><span style=\"font-weight: 400\">El objetivo del informe es comparar los lenguajes de consulta desde la perspectiva de las aplicaciones RDBMS tradicionales. Para ello se han seleccionado:<\/span><\/p>\n<p><span style=\"font-weight: 400\">Un modo de aplicaci\u00f3n de Gesti\u00f3n de Actividades, que se encuentra a menudo en muchos de los sistemas CRM que gestionan las actividades de Ventas, Servicios y Marketing. La configuraci\u00f3n del informe incluye tanto el modelo relacional como el modelo documental que utilizan Couchbase y MongoDB<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-8259\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2020\/03\/Screen-Shot-2020-03-06-at-7.24.02-AM.png\" alt=\"\" width=\"1088\" height=\"543\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.24.02-AM.png 1586w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.24.02-AM-300x150.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.24.02-AM-1024x511.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.24.02-AM-768x384.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.24.02-AM-1536x767.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.24.02-AM-20x10.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.24.02-AM-1320x659.png 1320w\" sizes=\"auto, (max-width: 1088px) 100vw, 1088px\" \/><\/p>\n<p><span style=\"font-weight: 400\">Tambi\u00e9n utiliza un conjunto de escenarios de consulta que la mayor\u00eda de los usuarios de estos sistemas reconocer\u00edan.\u00a0<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Escenario<\/b><\/td>\n<td><b>Descripci\u00f3n<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400\">1. Informe de la reuni\u00f3n de clientes<\/span><\/td>\n<td><span style=\"font-weight: 400\">Para preparar las reuniones con clientes a las que asistir\u00e9 la semana que viene, quiero obtener una lista de todos los clientes que asistir\u00e1n a las reuniones y sus contactos.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400\">2. Informe sobre el territorio de ventas regional<\/span><\/td>\n<td><span style=\"font-weight: 400\">Soy Director Regional de Ventas para el territorio de Vendedores de la C-Suite. Quiero obtener todas las cuentas asignadas a este territorio y los miembros del equipo de cuentas.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400\">3. Las 10 principales industrias de los clientes<\/span><\/td>\n<td><span style=\"font-weight: 400\">Determinar las 10 principales industrias de nuestros clientes en funci\u00f3n de las actividades de ventas de 2018.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400\">4. Organizaciones de ventas<\/span><\/td>\n<td><span style=\"font-weight: 400\">Quiero saber cu\u00e1nto tiempo dedicamos a hablar con las cuentas asignadas a mi territorio en el tercer trimestre del a\u00f1o fiscal 19.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400\">5. Un informe de actividad de ventas<\/span><\/td>\n<td><span style=\"font-weight: 400\">C\u00f3mo ha cambiado el n\u00famero de tareas relacionadas con las ventas mes a mes durante el a\u00f1o 2018.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400\">6. Un equipo de ventas Competencias<\/span><\/td>\n<td><span style=\"font-weight: 400\">Un an\u00e1lisis de las competencias y funciones del equipo de ventas en la organizaci\u00f3n de ventas actual.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400\">7. Informe de interacciones con los clientes<\/span><\/td>\n<td><span style=\"font-weight: 400\">Una consulta para revisar todas las presentaciones que hemos realizado con los clientes en CY19Q4 con m\u00e9tricas detalladas sobre el tiempo dedicado a cada cliente y la eficacia de la reuni\u00f3n.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400\">8. Analizar el sentimiento de las rese\u00f1as de hoteles<\/span><\/td>\n<td><span style=\"font-weight: 400\">Llamada a la API de lenguaje natural de Google para ordenar todas las opiniones en funci\u00f3n de la puntuaci\u00f3n de sentimiento<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400\">9. Un informe de b\u00fasqueda de texto para identificar reuniones de clientes<\/span><\/td>\n<td><span style=\"font-weight: 400\">Identificar las cuentas de clientes y sus contactos relacionados, en las que se ha tratado un tema concreto. Los criterios de b\u00fasqueda pueden incluir la siguiente informaci\u00f3n de forma parcial o completa: un t\u00edtulo de reuni\u00f3n, un intervalo de fechas de reuni\u00f3n, datos de contacto del cliente, datos de los miembros del equipo de ventas (participantes) y un nombre de cliente.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400\">Para cada escenario, el informe proporciona las soluciones correspondientes escritas en lenguaje de consulta SQL, N1QL y MongoDB.<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">El informe proporciona una clasificaci\u00f3n para cada lenguaje de consulta basada en los siguientes criterios.<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Simplicidad<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Legibilidad<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Expresividad<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Flexibilidad<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Disponibilidad de competencias<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">El informe tambi\u00e9n tabula dos m\u00e9tricas adicionales para el n\u00famero de l\u00edneas de c\u00f3digo, y el n\u00famero de viajes cliente-servidor requeridos por cada lenguaje de consulta en cada soluci\u00f3n de los nueve escenarios.\u00a0<\/span><\/li>\n<\/ol>\n<h2><b>Resultados de los criterios de evaluaci\u00f3n<\/b><\/h2>\n<p><span style=\"font-weight: 400\">La tabla siguiente es un resumen de todas las valoraciones para todos los escenarios de consulta. Consulte en el informe la valoraci\u00f3n individual de cada uno de los escenarios de consulta.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Utilizando MySQL-SQL como punto de referencia, el informe eval\u00faa Couchbase N1QL y MongoDB Query Language en funci\u00f3n de una serie de criterios.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-8260\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.21-AM.png\" alt=\"\" width=\"1566\" height=\"692\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.21-AM.png 1566w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.21-AM-300x133.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.21-AM-1024x452.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.21-AM-768x339.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.21-AM-1536x679.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.21-AM-20x9.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.21-AM-1320x583.png 1320w\" sizes=\"auto, (max-width: 1566px) 100vw, 1566px\" \/><\/p>\n<h5><span style=\"font-weight: 400\">Notas:<\/span><\/h5>\n<ol>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Altoros que ha trabajado con MongoDB, Cassandra, RedisLab ha encontrado que N1QL es muy similar a SQL, y le ha dado consistentemente una calificaci\u00f3n m\u00e1s favorable que la del lenguaje de consulta MongoDB.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">El c\u00f3digo de ejemplo del escenario #3 muestra que los tres lenguajes de consulta son relativamente similares para los escenarios de consulta simple, y tienen puntuaciones similares en los criterios de evaluaci\u00f3n.\u00a0<\/span><\/li>\n<\/ol>\n<h3><b>El n\u00famero de l\u00edneas de c\u00f3digo<\/b><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-8261\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.50-AM.png\" alt=\"\" width=\"1606\" height=\"974\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.50-AM.png 1606w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.50-AM-300x182.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.50-AM-1024x621.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.50-AM-768x466.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.50-AM-1536x932.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.50-AM-20x12.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.25.50-AM-1320x801.png 1320w\" sizes=\"auto, (max-width: 1606px) 100vw, 1606px\" \/><\/p>\n<p><span style=\"font-weight: 400\">El gr\u00e1fico muestra el n\u00famero de l\u00edneas de c\u00f3digo de cada consulta. Aunque esta m\u00e9trica puede estar sujeta a tergiversaciones, ya que todos los lenguajes de consulta tienen su propio formato recomendado, puede proporcionar una gu\u00eda sencilla sobre la complejidad que entra\u00f1a.\u00a0\u00a0<\/span><\/p>\n<h5><span style=\"font-weight: 400\">Notas:<\/span><\/h5>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">El lenguaje de consulta NoSQL N1QL tiene aproximadamente el mismo n\u00famero de l\u00edneas de c\u00f3digo que SQL.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">El lenguaje de consulta de MongoDB tiene sistem\u00e1ticamente m\u00e1s l\u00edneas de c\u00f3digo.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Para el escenario #7, el equipo de Altoros tuvo que escribir 347 l\u00edneas para el lenguaje de consulta MongoDB, en comparaci\u00f3n con las 21 l\u00edneas de N1QL. Este valor at\u00edpico refleja las limitaciones del lenguaje de consulta de MongoDB para calcular agregaciones complejas y expresiones de tabla comunes (<\/span><a href=\"https:\/\/docs.couchbase.com\/server\/current\/n1ql\/n1ql-language-reference\/with.html\"><span style=\"font-weight: 400\">CTE<\/span><\/a><span style=\"font-weight: 400\">) que SQL, y ahora N1QL, han sido siempre los puntos fuertes de la tecnolog\u00eda de bases de datos relacionales en las \u00faltimas d\u00e9cadas.<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-8266\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2020\/03\/Screen-Shot-2020-03-06-at-7.41.13-AM.png\" alt=\"\" width=\"468\" height=\"403\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.41.13-AM.png 744w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.41.13-AM-300x258.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.41.13-AM-20x17.png 20w\" sizes=\"auto, (max-width: 468px) 100vw, 468px\" \/><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-8262\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.19-AM.png\" alt=\"\" width=\"879\" height=\"644\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.19-AM.png 1602w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.19-AM-300x220.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.19-AM-1024x750.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.19-AM-768x563.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.19-AM-1536x1126.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.19-AM-20x15.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.19-AM-1320x967.png 1320w\" sizes=\"auto, (max-width: 879px) 100vw, 879px\" \/><\/p>\n<h3><b>N\u00famero de viajes cliente-servidor<\/b><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-8263\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.48-AM.png\" alt=\"\" width=\"889\" height=\"557\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.48-AM.png 1550w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.48-AM-300x188.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.48-AM-1024x642.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.48-AM-768x482.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.48-AM-1536x963.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.48-AM-20x13.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.26.48-AM-1320x828.png 1320w\" sizes=\"auto, (max-width: 889px) 100vw, 889px\" \/><\/p>\n<p><span style=\"font-weight: 400\">El gr\u00e1fico muestra el n\u00famero de viajes que la aplicaci\u00f3n tiene que enviar al servidor de la base de datos.\u00a0<\/span><\/p>\n<h5><span style=\"font-weight: 400\">Notas:<\/span><\/h5>\n<ol>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Para la mayor\u00eda de los escenarios, SQL\/N1QL s\u00f3lo requiere un \u00fanico env\u00edo de consulta al servidor, mientras que la consulta MongoDB requiere m\u00faltiples viajes. Esto se debe a la expresividad de SQL\/N1QL, donde los desarrolladores de aplicaciones simplemente tienen que declarar la salida deseada, y depende del servidor procesar y devolver los resultados.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">La falta de soporte de agregaci\u00f3n compleja requiere que MongoDB realice su c\u00e1lculo en m\u00faltiples fases. Esto es similar al enfoque est\u00e1ndar de subconsultas SQL. La diferencia aqu\u00ed es que los conjuntos de resultados de la subconsulta deben mantenerse en las aplicaciones cliente, que posteriormente se pasan a otra consulta.<\/span><\/li>\n<\/ol>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-8264\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2020\/03\/Screen-Shot-2020-03-06-at-7.27.43-AM.png\" alt=\"\" width=\"821\" height=\"868\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.27.43-AM.png 1298w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.27.43-AM-284x300.png 284w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.27.43-AM-969x1024.png 969w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.27.43-AM-768x812.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.27.43-AM-300x317.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.27.43-AM-20x20.png 20w\" sizes=\"auto, (max-width: 821px) 100vw, 821px\" \/><\/p>\n<h2><b>Principales conclusiones del informe<\/b><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-8265\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2020\/03\/Screen-Shot-2020-03-06-at-7.28.07-AM.png\" alt=\"\" width=\"1282\" height=\"592\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.28.07-AM.png 1282w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.28.07-AM-300x139.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.28.07-AM-1024x473.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.28.07-AM-768x355.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.28.07-AM-20x9.png 20w\" sizes=\"auto, (max-width: 1282px) 100vw, 1282px\" \/><\/p>","protected":false},"excerpt":{"rendered":"<p>Organizations who want to take advantage of the many benefits of NoSQL document databases, often find that they have two challenges: How to convert their RDBMS schemas to leverage the schema-less document model. Learn a new API\/Query to access the [&hellip;]<\/p>\n","protected":false},"author":26326,"featured_media":10645,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1814,1819,1812],"tags":[1261,1309,1725],"ppma_author":[8919],"class_list":["post-8258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-application-design","category-data-modeling","category-n1ql-query","tag-json","tag-mongodb","tag-nosql-database"],"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>A Comparison of 3 NoSQL Query Languages Across 7 Metrics<\/title>\n<meta name=\"description\" content=\"See how Couchbase N1QL, MongoDB query, and MySQL\/SQL compare across 7 key metrics here. We summarize the findings of Altoros&#039; report on resilient IT.\" \/>\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\/sql-to-nosql-7-metrics-to-compare-query-language\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Comparison of 3 NoSQL Query Languages Across 7 Metrics\" \/>\n<meta property=\"og:description\" content=\"See how Couchbase N1QL, MongoDB query, and MySQL\/SQL compare across 7 key metrics here. We summarize the findings of Altoros&#039; report on resilient IT.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/es\/sql-to-nosql-7-metrics-to-compare-query-language\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2020-03-06T17:17:24+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-14T01:44:29+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/03\/Screen-Shot-2020-03-06-at-7.49.11-AM_RESIZED.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1750\" \/>\n\t<meta property=\"og:image:height\" content=\"647\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Binh Le\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Binh Le\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/sql-to-nosql-7-metrics-to-compare-query-language\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/sql-to-nosql-7-metrics-to-compare-query-language\\\/\"},\"author\":{\"name\":\"Binh Le\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#\\\/schema\\\/person\\\/f89064928e262c71eb43bee996c48c63\"},\"headline\":\"A Comparison of 3 NoSQL Query Languages Across 7 Metrics\",\"datePublished\":\"2020-03-06T17:17:24+00:00\",\"dateModified\":\"2025-06-14T01:44:29+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/sql-to-nosql-7-metrics-to-compare-query-language\\\/\"},\"wordCount\":1284,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/sql-to-nosql-7-metrics-to-compare-query-language\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2020\\\/03\\\/Screen-Shot-2020-03-06-at-7.49.11-AM_RESIZED.png\",\"keywords\":[\"JSON\",\"mongodb\",\"NoSQL Database\"],\"articleSection\":[\"Application Design\",\"Data Modeling\",\"SQL++ \\\/ N1QL Query\"],\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/sql-to-nosql-7-metrics-to-compare-query-language\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/sql-to-nosql-7-metrics-to-compare-query-language\\\/\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/sql-to-nosql-7-metrics-to-compare-query-language\\\/\",\"name\":\"A Comparison of 3 NoSQL Query Languages Across 7 Metrics\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/sql-to-nosql-7-metrics-to-compare-query-language\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/sql-to-nosql-7-metrics-to-compare-query-language\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2020\\\/03\\\/Screen-Shot-2020-03-06-at-7.49.11-AM_RESIZED.png\",\"datePublished\":\"2020-03-06T17:17:24+00:00\",\"dateModified\":\"2025-06-14T01:44:29+00:00\",\"description\":\"See how Couchbase N1QL, MongoDB query, and MySQL\\\/SQL compare across 7 key metrics here. 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