{"id":392,"date":"2026-04-30T02:03:59","date_gmt":"2026-04-30T09:03:59","guid":{"rendered":"https:\/\/www.couchbase.com\/\/?p=392"},"modified":"2026-07-21T11:48:26","modified_gmt":"2026-07-21T18:48:26","slug":"comparing-vector-search-capabilities-of-mongodb-and-couchbase-by-benchmarking-using-vectordbbench","status":"publish","type":"documents","link":"https:\/\/www.couchbase.com\/fr\/document\/comparing-vector-search-capabilities-of-mongodb-and-couchbase-by-benchmarking-using-vectordbbench\/","title":{"rendered":"Comparaison des capacit\u00e9s de recherche vectorielle de MongoDB et Couchbase"},"content":{"rendered":"<p class=\"wp-block-paragraph\">\u00c0 la recherche d'une base de donn\u00e9es performante et \u00e9conomique pour vos applications bas\u00e9es sur l'IA ? La recherche vectorielle n'est qu'un des nombreux domaines critiques o\u00f9 la plateforme de donn\u00e9es unifi\u00e9e de Couchbase surpasse mesurablement MongoDB\u2122. Ce nouveau rapport de benchmark de recherche vectorielle compare Couchbase 8.0 et MongoDB 8.0 en termes de rappel, de latence et de d\u00e9bit \u00e0 l'aide de VectorDBBench, la suite de benchmarking standard pour les charges de travail vectorielles. Couchbase a surpass\u00e9 significativement MongoDB pour les ensembles de donn\u00e9es standard et \u00e0 grande \u00e9chelle\u00a0:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Jeu de donn\u00e9es de 100M vecteurs avec 768 dimensions \u2013 Couchbase a atteint un d\u00e9bit plus \u00e9lev\u00e9 pour tous les niveaux de rappel tout en offrant des niveaux plus \u00e9lev\u00e9s et des latences plus faibles<\/li>\n\n\n<li>Jeu de donn\u00e9es vectoriel 1B de 128 dimensions \u2013 Les performances de Couchbase n'ont \u00e9t\u00e9 que l\u00e9g\u00e8rement d\u00e9grad\u00e9es, tandis que MongoDB n'\u00e9tait plus capable d'atteindre des performances de qualit\u00e9 professionnelle.<\/li>\n\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Le rapport comprend les d\u00e9tails complets de la m\u00e9thodologie de test, des configurations mat\u00e9rielles et des charges de travail, ainsi qu'une discussion des r\u00e9sultats.<\/p>\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\" style=\"margin-top:var(--wp--preset--spacing--lg)\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/info.couchbase.com\/rs\/302-GJY-034\/images\/COU_1372%20-%208.0%20Benchmarks%20for%20Hyperscale%20Vector%20Search%20-%20WP.pdf\" title=\"Obtenir le rapport\" target=\"_self\">Obtenir le rapport<\/a><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>In the market for a high-performance, cost-efficient database for your AI-powered apps? Vector search is just one of many critical areas where Couchbase\u2019s unified data platform measurably beats MongoDB\u2122. This new vector search benchmark report compares Couchbase 8.0 and MongoDB 8.0 for recall, latency, and throughput using VectorDBBench, the standard benchmarking suite for vector workloads. [&hellip;]<\/p>\n","protected":false},"author":85675,"featured_media":0,"menu_order":0,"template":"single-document","meta":{"_acf_changed":false,"inline_featured_image":false,"_acf":"","footnotes":""},"document-tracks":[],"class_list":["post-392","documents","type-documents","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.3 (Yoast SEO v28.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Comparing Vector Search Capabilities of MongoDB and Couchbase - Couchbase<\/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\/fr\/document\/comparing-vector-search-capabilities-of-mongodb-and-couchbase-by-benchmarking-using-vectordbbench\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Comparing Vector Search Capabilities of MongoDB and Couchbase\" \/>\n<meta property=\"og:description\" content=\"In the market for a high-performance, cost-efficient database for your AI-powered apps? Vector search is just one of many critical areas where Couchbase\u2019s unified data platform measurably beats MongoDB\u2122. This new vector search benchmark report compares Couchbase 8.0 and MongoDB 8.0 for recall, latency, and throughput using VectorDBBench, the standard benchmarking suite for vector workloads. 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Vector search is just one of many critical areas where Couchbase\u2019s unified data platform measurably beats MongoDB\u2122. This new vector search benchmark report compares Couchbase 8.0 and MongoDB 8.0 for recall, latency, and throughput using VectorDBBench, the standard benchmarking suite for vector workloads. 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