{"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\/de\/document\/comparing-vector-search-capabilities-of-mongodb-and-couchbase-by-benchmarking-using-vectordbbench\/","title":{"rendered":"Vergleich der Vektorsuchfunktionen von MongoDB und Couchbase"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Auf der Suche nach einer leistungsstarken, kosteneffizienten Datenbank f\u00fcr Ihre KI-gest\u00fctzten Anwendungen? Vektorsuche ist nur einer von vielen kritischen Bereichen, in denen die einheitliche Datenplattform von Couchbase MongoDB\u2122 messbar schl\u00e4gt. Dieser neue Vektorsuche-Benchmark-Bericht vergleicht Couchbase 8.0 und MongoDB 8.0 in Bezug auf Recall, Latenz und Durchsatz mit VectorDBBench, der Standard-Benchmark-Suite f\u00fcr Vektor-Workloads. Couchbase \u00fcbertraf MongoDB sowohl f\u00fcr Standard- als auch f\u00fcr gro\u00df angelegte Datens\u00e4tze deutlich:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>100 Millionen Vektoren-Datensatz mit 768 Dimensionen \u2013 Couchbase erreichte einen h\u00f6heren Durchsatz f\u00fcr alle Recall-Stufen, w\u00e4hrend es h\u00f6here Stufen und geringere Latenzen bot<\/li>\n\n\n<li>1B-Vektor-Datensatz mit 128 Dimensionen \u2013 Couchbase zeigte nur geringf\u00fcgig geringere Leistung, w\u00e4hrend MongoDB keine produktionsreifen Leistungen mehr erzielen konnte<\/li>\n\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Der Bericht enth\u00e4lt vollst\u00e4ndige Details zur Testmethodik, Hardwarekonfigurationen und Workloads sowie eine Diskussion der Ergebnisse.<\/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=\"Den Bericht abrufen\" target=\"_self\">Den Bericht abrufen<\/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\/de\/document\/comparing-vector-search-capabilities-of-mongodb-and-couchbase-by-benchmarking-using-vectordbbench\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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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