{"id":1737,"date":"2014-12-16T18:52:39","date_gmt":"2014-12-16T18:52:39","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=1737"},"modified":"2023-06-28T01:08:47","modified_gmt":"2023-06-28T08:08:47","slug":"nosql-cage-match-round-2","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/nosql-cage-match-round-2\/","title":{"rendered":"The NoSQL Cage Match: Round 2"},"content":{"rendered":"<p id=\"docs-internal-guid-5cf72727-6473-2f60-7526-a9d39eb50785\" dir=\"ltr\" style=\"line-height: 1.4375;margin-top: 10pt;margin-bottom: 10pt\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\">Architecture matters. A lot. <\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.4375;margin-top: 10pt;margin-bottom: 10pt\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\">Thumbtack Technology today reported <\/span><a style=\"text-decoration: none\" href=\"https:\/\/blog.thumbtack.net\/nosql-benchmark-study-release\/\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #4a86e8;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: underline;vertical-align: baseline\">results<\/span><\/a><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\"> 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 style=\"text-decoration: none\" href=\"https:\/\/www.couchbase.com\/blog\/mongodb-and-apache-cassandra-datastax-where-art-thou\/\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #4a86e8;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: underline;vertical-align: baseline\">here<\/span><\/a><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\">, and get the full report <\/span><a style=\"text-decoration: none\" href=\"https:\/\/info.couchbase.com\/2014-Fall-Benchmark-Results-LP.html\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #4a86e8;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: underline;vertical-align: baseline\">here<\/span><\/a><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\">. \u00a0<\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.4375;margin-top: 10pt;margin-bottom: 10pt\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\">Conclusion: Couchbase is the clear high-performance, general purpose NoSQL leader. <\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.4375;margin-top: 10pt;margin-bottom: 10pt\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\"><img decoding=\"async\" style=\"border: none\" src=\"https:\/\/lh5.googleusercontent.com\/NBco-1ZY5YH5pMlzl1-JAzezvlGFeKWEmqJ553G13h2GRceyApcrUbpgmLe_MeE_NEJurME8nhG1xNx0iXxRPnTdTpanHXmE9-77OSVBhpGwMBeOWVdAusiU-5QWVmY3Sw\" alt=\"bm_bar_chart.jpeg\" width=\"624px;\" height=\"195px;\" \/><\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.4375;margin-top: 10pt;margin-bottom: 10pt\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\">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 style=\"text-decoration: none\" href=\"https:\/\/www.couchbase.com\/blog\/mongodb-and-datastax-rearview-mirror\/\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #4a86e8;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: underline;vertical-align: baseline\">design flaws<\/span><\/a><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\"> 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<p dir=\"ltr\" style=\"line-height: 1.4375;margin-top: 10pt;margin-bottom: 10pt\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\">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<p dir=\"ltr\" style=\"line-height: 1.4375;margin-top: 10pt;margin-bottom: 10pt\"><span style=\"font-size: 16px;font-family: 'MS PGothic';color: #666666;background-color: #ffffff;font-weight: normal;font-style: normal;font-variant: normal;text-decoration: none;vertical-align: baseline\">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>\n","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 [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":13873,"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":[8990],"class_list":["post-1737","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.8 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\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\/nosql-cage-match-round-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\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 [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/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=\"article:modified_time\" content=\"2023-06-28T08:08:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lh5.googleusercontent.com\/NBco-1ZY5YH5pMlzl1-JAzezvlGFeKWEmqJ553G13h2GRceyApcrUbpgmLe_MeE_NEJurME8nhG1xNx0iXxRPnTdTpanHXmE9-77OSVBhpGwMBeOWVdAusiU-5QWVmY3Sw\" \/>\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 minutes\" \/>\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\",\"dateModified\":\"2023-06-28T08:08:47+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\/1\/2022\/11\/couchbase-nosql-dbaas.png\",\"inLanguage\":\"en-US\",\"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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