{"id":29019,"date":"2017-10-27T15:01:52","date_gmt":"2017-10-27T12:01:52","guid":{"rendered":"https:\/\/www.altoros.com\/blog\/?p=29019"},"modified":"2018-06-11T09:52:47","modified_gmt":"2018-06-11T06:52:47","slug":"mongodb-3-4-vs-couchbase-server-5-0-vs-datastax-enterprise-5-0-cassandra-2017","status":"publish","type":"post","link":"https:\/\/www.altoros.com\/blog\/mongodb-3-4-vs-couchbase-server-5-0-vs-datastax-enterprise-5-0-cassandra-2017\/","title":{"rendered":"MongoDB 3.4 vs. Couchbase Server 5.0 vs. DataStax Enterprise 5.0 (Cassandra)"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.altoros.com\/blog\/mongodb-3-4-vs-couchbase-server-5-0-vs-datastax-enterprise-5-0-cassandra-2017\/#Criteria_essential_for_most_enterprise_deployments\" >Criteria essential for most enterprise deployments<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.altoros.com\/blog\/mongodb-3-4-vs-couchbase-server-5-0-vs-datastax-enterprise-5-0-cassandra-2017\/#Report_highlights\" >Report highlights<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.altoros.com\/blog\/mongodb-3-4-vs-couchbase-server-5-0-vs-datastax-enterprise-5-0-cassandra-2017\/#Further_reading\" >Further reading<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"Criteria_essential_for_most_enterprise_deployments\"><\/span>Criteria essential for most enterprise deployments<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Last week, during Couchbase Connect, we <a href=\"https:\/\/www.marketwired.com\/news-release\/2017\/10\/26\/1189616\/0\/en\/A-New-NoSQL-Technical-Comparison-Reveals-Couchbase-Server-Bests-MongoDB-and-Cassandra.html\" target=\"_blank\">announced<\/a> the results of our latest NoSQL technical comparison. The study analyzed the leading NoSQL systems\u2014Cassandra (DataStax Enterprise v5.0), Couchbase Server (v5.0), and MongoDB (v3.4)\u2014across 22 categories on a 10-point scale. We&#8217;ve been tracking the three databases for 5+ years, releasing research papers like that on a regular basis.<\/p>\n<p>Unlike other NoSQL comparisons that focus only on one or two dimensions, &#8220;<a href=\"https:\/\/www.altoros.com\/research-papers\/2017-nosql-technical-comparison-report-cassandra-datastax-mongodb-and-couchbase-server\/\">The NoSQL Technical Comparison Report<\/a>&#8221; approaches evaluated solutions from 20+ angles to help decision makers choose the best option based on performance, availability, ease of installation and maintenance, data consistency, fault tolerance, replication, recovery, scalability, and other criteria. The report also includes recommendations on the best ways to configure, install, and use NoSQL databases depending on specific features.<\/p>\n<blockquote><p><em>&#8220;Dozens of NoSQL databases have been developed over the last decades with a goal to deliver faster performance than traditional relational database management systems in various use cases\u2014most notably those involving big data. However, the majority of NoSQL data stores are optimized, or even built, for a specific workload or a task. As such, not all the NoSQL products are the same. With implementations varying significantly from vendor to vendor, it is important to be aware of comparative strengths and weaknesses, which was one of the drivers behind this report.&#8221;<br \/>\n\u2014Vladimir Starostenkon, R&#038;D Engineer at Altoros<\/em><\/p><\/blockquote>\n<p>The scoring framework set out in this document allows architects and engineers to assign different weights to evaluation criteria. As a result, it is possible to choose a NoSQL data store taking into consideration custom needs for data structure\/formats, deployment, scalability, etc.<\/p>\n<p>For criteria based on measurable data, scores were applied based on real-world practical experience in using the products under evaluation and regularly conducted benchmarks. For criteria based on qualitative data\u2014e.g., installation and maintenance procedure\u2014scores were applied based on in-depth review of the documentation, dialog with the solutions vendors and users engineering teams, and our own development and production experience.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Report_highlights\"><\/span>Report highlights<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/10\/mongodb_logo_transparent.png\" alt=\"mongodb_logo_transparent\" width=\"200\" class=\"alignright size-full wp-image-29025\" \/><\/p>\n<p><em>MongoDB<\/em> is a web-scale document-oriented NoSQL database. It has extensive support for a variety of secondary indices and API-based ad-hoc queries, as well as strong features for manipulating JSON documents. The database puts forward a separate and incremental approach to data replication and partitioning that happen as completely independent processes.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/10\/couchbase-logo.gif\" alt=\"couchbase-logo\" width=\"200\" class=\"alignright size-full wp-image-29026\" \/><\/p>\n<p><em>Couchbase Server<\/em> is both a JSON document and a key-value distributed NoSQL database. It guarantees high performance with a built-in object-level cache, asynchronous replication, and data persistence. The database is designed to scale out or scale up compute-, RAM-, and storage-intensive workloads independently.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/10\/cassandra_logo.png\" alt=\"cassandra_logo\" width=\"200\"  class=\"alignright size-full wp-image-29028\" \/><\/p>\n<p><em>Cassandra<\/em> is a partitioned row store with the rows organized in tables. Initially designed at Facebook by Amazon Dynamo\u2019s developers, it aims to provide high availability and linear scalability. It features tunable consistency, hinted handoff, and active anti-entropy. DataStax Enterprise is a commercial third-party software that provides enterprise features on top of open-source Apache Cassandra, such as full-text search, real-time analytics, advanced security, and auditing.<\/p>\n<p>The resulting basic (unweighted) scores revealed Couchbase Server v5.0 scored highest with 213 points, DataStax Enterprise v5.0 (Cassandra) second with 201 points, and MongoDB v3.4 third with 186 points.<\/p>\n<p>Though Couchbase Server achieved the overall highest basic score, all three were neck-and-neck in various categories, with DataStax Enterprise outshining the others in the categories of <b>Availability<\/b> and <b>Fault Tolerance<\/b>. <b>Mobile Device Support<\/b> was where Couchbase widened the gap with the only dedicated solution for mobile devices out of the three.<\/p>\n<p>For more details, download the report <a href=\"https:\/\/www.altoros.com\/research-papers\/2017-nosql-technical-comparison-report-cassandra-datastax-mongodb-and-couchbase-server\/\">here<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Further_reading\"><\/span>Further reading<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><a href=\"https:\/\/www.altoros.com\/research-papers\/mongodb-vs-couchbase-server-architectural-differences-and-their-impact\/\">MongoDB vs. Couchbase Server: Architectural Differences and Their Impact<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/performance-evaluation-mongodb-over-netapp-e-series\/\">Performance Evaluation: MongoDB over NetApp E-Series<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go\/\">Performance Benchmark: Redis Cloud vs. ElastiCache vs. openredis vs. RedisGreen vs. Redis To Go<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Criteria essential for most enterprise deployments<\/p>\n<p>Last week, during Couchbase Connect, we announced the results of our latest NoSQL technical comparison. The study analyzed the leading NoSQL systems\u2014Cassandra (DataStax Enterprise v5.0), Couchbase Server (v5.0), and MongoDB (v3.4)\u2014across 22 categories on a 10-point scale. We&#8217;ve been tracking the three databases for 5+ [&#8230;]<\/p>\n","protected":false},"author":5,"featured_media":29035,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[7],"tags":[894,895],"class_list":["post-29019","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-opinion","tag-benchmarking","tag-research-and-development"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>MongoDB 3.4 vs. Couchbase Server 5.0 vs. DataStax Enterprise 5.0 (Cassandra) | Altoros<\/title>\n<meta name=\"description\" content=\"The 2017 study by Altoros evaluated the three leading NoSQL solutions across 22 key parameters\u2014such as architecture, development, administration, etc.\" \/>\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.altoros.com\/blog\/mongodb-3-4-vs-couchbase-server-5-0-vs-datastax-enterprise-5-0-cassandra-2017\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MongoDB 3.4 vs. Couchbase Server 5.0 vs. DataStax Enterprise 5.0 (Cassandra) | Altoros\" \/>\n<meta property=\"og:description\" content=\"Criteria essential for most enterprise deployments Last week, during Couchbase Connect, we announced the results of our latest NoSQL technical comparison. 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