{"id":373,"date":"2026-06-05T14:05:25","date_gmt":"2026-06-05T21:05:25","guid":{"rendered":"https:\/\/www.couchbase.com\/com-2026\/?p=373"},"modified":"2026-06-05T14:05:25","modified_gmt":"2026-06-05T21:05:25","slug":"couchbase-vs-mongodb-vector-search-benchmarks","status":"publish","type":"documents","link":"https:\/\/www.couchbase.com\/pt\/document\/couchbase-vs-mongodb-vector-search-benchmarks\/","title":{"rendered":"Couchbase vs. MongoDB: Benchmarks de Busca Vetorial"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Procurando um banco de dados de alta performance e custo-eficiente para seus aplicativos com intelig\u00eancia artificial? A busca vetorial \u00e9 apenas uma das muitas \u00e1reas cr\u00edticas onde a plataforma de dados unificada da Couchbase supera medivelmente o MongoDB\u2122. Este novo relat\u00f3rio de benchmark de busca vetorial compara Couchbase 8.0 e MongoDB 8.0 em termos de recall, lat\u00eancia e throughput usando VectorDBBench, o conjunto de benchmarking padr\u00e3o para cargas de trabalho vetoriais. A Couchbase superou significativamente o MongoDB para conjuntos de dados padr\u00e3o e em larga escala:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>100M vector dataset with 768 dimensions \u2013 Couchbase achieved higher throughput for all recall levels while providing higher levels and lower latencies<\/li>\n\n\n<li>1B vector dataset with 128 dimensions \u2013 Couchbase\u2019s performance degraded only slightly, while MongoDB could no longer achieve any production-grade performance<\/li>\n\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">O relat\u00f3rio inclui detalhes completos da metodologia de teste, configura\u00e7\u00f5es de hardware e cargas de trabalho, al\u00e9m de uma discuss\u00e3o dos resultados.<\/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=\"Obter o relat\u00f3rio\" target=\"_self\">Obter o relat\u00f3rio<\/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":15093,"featured_media":0,"menu_order":0,"template":"single-document","meta":{"_acf_changed":false,"inline_featured_image":false,"_acf":"","footnotes":""},"document-tracks":[],"class_list":["post-373","documents","type-documents","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.6 (Yoast SEO v28.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Couchbase vs. MongoDB: Vector Search Benchmarks<\/title>\n<meta name=\"description\" content=\"Download the VectorDBBench results comparing Couchbase and MongoDB vector search at 100M and 1B vectors for throughput, latency, and recall.\" \/>\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\/pt\/document\/couchbase-vs-mongodb-vector-search-benchmarks\/\" \/>\n<meta property=\"og:locale\" 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