{"id":177,"date":"2014-12-16T18:52:39","date_gmt":"2014-12-16T18:52:39","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/nosql-cage-match-round-2\/"},"modified":"2014-12-16T18:52:39","modified_gmt":"2014-12-16T18:52:39","slug":"nosql-cage-match-round-2","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/nosql-cage-match-round-2\/","title":{"rendered":"The NoSQL Cage Match: Round 2"},"content":{"rendered":"<p><span>Architecture matters. A lot. <\/span><\/p>\n\n\n\n<p><span>Thumbtack Technology today reported <\/span><a href=\"https:\/\/blog.thumbtack.net\/nosql-benchmark-study-release\/\"><span>results<\/span><\/a><span> from its latest benchmark comparison of MongoDB, Cassandra DataStax, and Couchbase Server. Couchbase crushed the competition: 1.71M operations per second with sub-millisecond latency on read-heavy workloads, compared to just 227K for MongoDB and 99K for Cassandra DataStax. Similar pattern for balanced workloads. You can see more results <\/span><a href=\"https:\/\/www.couchbase.com\/blog\/es\/mongodb-and-apache-cassandra-datastax-where-art-thou\/\"><span>here<\/span><\/a><span>, and get the full report <\/span><a href=\"https:\/\/info.couchbase.com\/2014-Fall-Benchmark-Results-LP.html\"><span>here<\/span><\/a><span>. \u00a0<\/span><\/p>\n\n\n\n<p><span>Conclusion: Couchbase is the clear high-performance, general purpose NoSQL leader. <\/span><\/p>\n\n\n\n<p><span><img decoding=\"async\" src=\"https:\/\/lh5.googleusercontent.com\/NBco-1ZY5YH5pMlzl1-JAzezvlGFeKWEmqJ553G13h2GRceyApcrUbpgmLe_MeE_NEJurME8nhG1xNx0iXxRPnTdTpanHXmE9-77OSVBhpGwMBeOWVdAusiU-5QWVmY3Sw\" alt=\"bm_bar_chart.jpeg\" width=\"624px;\" height=\"195px;\"><\/span><\/p>\n\n\n\n<p><span>It\u2019s also clear that as the NoSQL market shifts from phase 1 (experimentation) to phase 2 (mission-critical deployments, where performance at scale is key), MongoDB and DataStax are struggling to make the transition. Both are limited by architectural <\/span><a href=\"https:\/\/www.couchbase.com\/blog\/es\/mongodb-and-datastax-rearview-mirror\/\"><span>design flaws<\/span><\/a><span> like MongoDB\u2019s database-wide locking and DataStax\u2019s inability to effectively leverage memory. Those architectural limitations are, in part, what\u2019s behind enterprises\u2019 decisions to replace MongoDB (e.g., at Viber) and Cassandra (e.g., at eBay) with Couchbase Server. \u00a0<\/span><\/p>\n\n\n\n<p><span>Couchbase, on the other hand, was engineered from the beginning for performance at scale with modern infrastructures in mind, designed to take full advantage of advances in memory and network technologies.<\/span><\/p>\n\n\n\n<p><span>If you require consistent high performance at scale for your application, or you\u2019re concerned about limitations of MongoDB and DataStax, you should take a look at Couchbase Server.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Architecture matters. A lot. Thumbtack Technology today reported results from its latest benchmark comparison of MongoDB, Cassandra DataStax, and Couchbase Server. Couchbase crushed the competition: 1.71M operations per second with sub-millisecond latency on read-heavy workloads, compared to just 227K for MongoDB and 99K for Cassandra DataStax. Similar pattern for balanced workloads. You can see more [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":18,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"ppma_author":[90],"class_list":["post-177","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.6 (Yoast SEO v27.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>The NoSQL Cage Match: Round 2 - The Couchbase Blog<\/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\/blog\/es\/nosql-cage-match-round-2\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The NoSQL Cage Match: Round 2\" \/>\n<meta property=\"og:description\" content=\"Architecture matters. A lot. Thumbtack Technology today reported results from its latest benchmark comparison of MongoDB, Cassandra DataStax, and Couchbase Server. Couchbase crushed the competition: 1.71M operations per second with sub-millisecond latency on read-heavy workloads, compared to just 227K for MongoDB and 99K for Cassandra DataStax. Similar pattern for balanced workloads. You can see more [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/es\/nosql-cage-match-round-2\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2014-12-16T18:52:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/5\/2026\/05\/couchbase-nosql-dbaas.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1800\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Doug Laird, SVP and Chief Marketing Officer\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Doug Laird, SVP and Chief Marketing Officer\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nosql-cage-match-round-2\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nosql-cage-match-round-2\\\/\"},\"author\":{\"name\":\"Doug Laird, SVP and Chief Marketing Officer\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#\\\/schema\\\/person\\\/01e4f643c499408c5c61cbee3c41f1e3\"},\"headline\":\"The NoSQL Cage Match: Round 2\",\"datePublished\":\"2014-12-16T18:52:39+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nosql-cage-match-round-2\\\/\"},\"wordCount\":217,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nosql-cage-match-round-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/05\\\/couchbase-nosql-dbaas.png\",\"articleSection\":[\"Uncategorized\"],\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nosql-cage-match-round-2\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nosql-cage-match-round-2\\\/\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nosql-cage-match-round-2\\\/\",\"name\":\"The NoSQL Cage Match: Round 2 - 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