{"id":392,"date":"2026-04-30T02:03:59","date_gmt":"2026-04-30T09:03:59","guid":{"rendered":"https:\/\/www.couchbase.com\/com-2026\/?p=392"},"modified":"2026-10-10T22:45:34","modified_gmt":"2026-10-11T05:45:34","slug":"comparing-vector-search-capabilities-of-mongodb-and-couchbase-by-benchmarking-using-vectordbbench","status":"publish","type":"documents","link":"https:\/\/www.couchbase.com\/it\/document\/comparing-vector-search-capabilities-of-mongodb-and-couchbase-by-benchmarking-using-vectordbbench\/","title":{"rendered":"Comparing Vector Search MongoDB and Couchbase"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Alla ricerca di un database performante ed economicamente efficiente per le tue app basate sull'AI? La ricerca vettoriale \u00e8 solo una delle tante aree critiche in cui la piattaforma dati unificata di Couchbase surclassa significativamente MongoDB\u2122. Questo nuovo report di benchmark sulla ricerca vettoriale confronta Couchbase 8.0 e MongoDB 8.0 per richiamo, latenza e throughput utilizzando VectorDBBench, la suite di benchmark standard per i carichi di lavoro vettoriali. Couchbase ha superato significativamente MongoDB sia per set di dati standard che su larga scala:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dataset vettoriale da 100 milioni con 768 dimensioni: Couchbase ha ottenuto un throughput pi\u00f9 elevato per tutti i livelli di recall, fornendo al contempo livelli pi\u00f9 alti e latenze inferiori.<\/li>\n\n\n\n<li>Il set di dati vettoriale 1B con 128 dimensioni \u2013 le prestazioni di Couchbase sono diminuite solo leggermente, mentre MongoDB non \u00e8 pi\u00f9 riuscito a raggiungere prestazioni di livello produttivo<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Il report include dettagli completi sulla metodologia di test, configurazioni hardware e workload, oltre a una discussione dei risultati.<\/p>\n\n\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=\"Scarica il rapporto\" target=\"_self\">Scarica il rapporto<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>","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 v28.6 (Yoast SEO v28.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Comparing Vector Search 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\/it\/document\/comparing-vector-search-capabilities-of-mongodb-and-couchbase-by-benchmarking-using-vectordbbench\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Comparing Vector Search 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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