{"id":51809,"date":"2015-01-27T17:17:51","date_gmt":"2015-01-27T14:17:51","guid":{"rendered":"https:\/\/www.altoros.com\/blog\/?p=51809"},"modified":"2020-04-09T03:38:43","modified_gmt":"2020-04-09T00:38:43","slug":"performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go","status":"publish","type":"post","link":"https:\/\/www.altoros.com\/blog\/performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go\/","title":{"rendered":"A Comparison of Redis Cloud, ElastiCache, openredis, RedisGreen, Redis To Go"},"content":{"rendered":"<p>In most performance comparisons, Redis\u2014an open-source key-value cache\/store\u2014is mainly treated as a caching-only solution. Others are only focused on a single provider.\u00a0However, customers are interested in the deeper utilization of built-in data types and server-side operations. In production, you may have several loads that query your database simultaneously\u2014with different types of tasks.<\/p>\n<p>Altoros announced the <a href=\"https:\/\/www.altoros.com\/research-papers\/redis-as-a-service-performance-benchmark-redis-cloud-elasticache-openredis-redisgreen-and-redis-to-go\/\">study<\/a> that evaluates Redis performance in more complicated conditions. It combines two different types of queries, both simple and complex, generated concurrently. In this blog post, we share some of the main findings.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_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\/performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go\/#Redis-as-a-service_providers_available\" >Redis-as-a-service providers available<\/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\/performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go\/#Workload_scenarios_in_use\" >Workload scenarios in use<\/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\/performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go\/#Reality_how_parallel_loads_behave\" >Reality: how parallel loads behave<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.altoros.com\/blog\/performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go\/#Further_reading\" >Further reading<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"Redis-as-a-service_providers_available\"><\/span>Redis-as-a-service providers available<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p dir=\"ltr\">We compared the following Redis-as-a-service offerings available on Amazon AWS.<\/p>\n<ul>\n<li>Redis Cloud Standard (by Redis Labs)<\/li>\n<li>Redis Cloud Cluster (by Redis Labs)<\/li>\n<li>ElastiCache (by Amazon)<\/li>\n<li>openredis (by Amakawa)<\/li>\n<li>RedisGreen (by Stovepipe Studios)<\/li>\n<li>Redis To Go (by Exceptional Cloud Services \/ Rackspace)<\/li>\n<\/ul>\n<p>Using a single AWS EC2 instance, each vendor provided the best-performing Redis-as-a-service (RaaS) plan. All of the server instances were located in the same region as the benchmarking client.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Workload_scenarios_in_use\"><\/span>Workload scenarios in use<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Most benchmarks are bound to <a href=\"https:\/\/en.wikipedia.org\/wiki\/Create,_read,_update_and_delete\" rel=\"noreferrer noopener\" target=\"_blank\">CRUD<\/a> operations only, evaluating basic Redis capabilities. To test its advanced functionality, we put six popular RaaS offerings under three totally different scenarios.<\/p>\n<p>The <strong>simple<\/strong> workload was compiled from the SET\/GET operations in the proportion of 1:1 and utilized different pipeline sizes (4 and 50).<\/p>\n<p>The <strong>complex<\/strong> workload comprised of the <a href=\"https:\/\/redis.io\/commands\/ZUNIONSTORE\" target=\"_blank\" rel=\"noopener noreferrer\">ZUNIONSTORE<\/a> operations on four sorted sets. Within this scenario, an increased number of client threads consequently increased the number of requests for Redis to process, evaluating scalability of the RaaS solutions.<\/p>\n<p>The <strong>combined<\/strong> workload imitated a real-life use case, where Redis-as-a-service providers, running concurrently, were benchmarked under CRUD operations and server-side operations on built-in data types.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Reality_how_parallel_loads_behave\"><\/span>Reality: how parallel loads behave<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The differences between the RaaS solutions were most clearly demonstrated during the combined scenario, when launching simple and complex workloads synchronously. Besides, as the number of threads was increasing, some intriguing findings were discovered in the behavior of simple and complex operations. The results are seen in the pictures below.<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/www.altoros.com\/research-papers\/redis-as-a-service-performance-benchmark-redis-cloud-elasticache-openredis-redisgreen-and-redis-to-go\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-51810 aligncenter\" style=\"border:1px solid #ccc;\" alt=\"Redis-as-a-Service Benchmark: Redis Cloud vs. ElastiCache vs. openredis vs. RedisGreen vs. Redis To Go\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2020\/03\/Redis_Benchmark_Combined_Workload-2.png\" width=\"496\" height=\"822\" \/><\/a><small>The performance benchmark under the combined workload<\/small><\/p>\n<p>The main insights based on the performance results of the combined workload:<\/p>\n<ul>\n<li style=\"margin-bottom: 6px;\">While throughput of complex operations was either increasing or stayed almost the same, performance of simple operations degraded as the number of threads increased. This behavior was noticed across all RaaS providers.<\/li>\n<li style=\"margin-bottom: 6px;\">Redis Cloud Cluster (by Redis Labs) outperformed the rest of the RaaS offerings in most use cases. This was the only solution that still scaled linearly in the combined scenario.<\/li>\n<li style=\"margin-bottom: 6px;\">Taking into account how complex operations influence the performance of simple scenarios, Redis-as-a-service solutions may behave quite in a distinctive manner under different types of load. It brings in the need for evaluation of a particular case\u2014according to its complexity, type of load, number of threads, etc.<\/li>\n<\/ul>\n<p>For more results with performance diagrams and tables on exact latencies and throughput data, check out the <a href=\"https:\/\/www.altoros.com\/research-papers\/redis-as-a-service-performance-benchmark-redis-cloud-elasticache-openredis-redisgreen-and-redis-to-go\/\">full version<\/a> of this Redis-as-a-service benchmark.<\/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 style=\"margin-bottom: 6px;\"><a href=\"https:\/\/www.altoros.com\/research-papers\/nosql-performance-benchmark-2019-couchbase-server-v6-0-datastax-enterprise-v6-7-cassandra-and-mongodb-v4-0\/\">Technical NoSQL Comparison Report 2019: Couchbase Server v6.0, DataStax Enterprise v6.7 (Cassandra), and MongoDB v4.0<\/a><\/li>\n<li style=\"margin-bottom: 6px;\"><a href=\"https:\/\/www.altoros.com\/research-papers\/nosql-performance-benchmark-2018-couchbase-server-v5-5-datastax-enterprise-v6-cassandra-and-mongodb-v3-6\/\">NoSQL Performance Benchmark 2018: Couchbase Server v5.5, DataStax Enterprise v6 (Cassandra), and MongoDB v3.6<\/a><\/li>\n<li style=\"margin-bottom: 6px;\"><a href=\"https:\/\/www.altoros.com\/research-papers\/2017-nosql-technical-comparison-report-cassandra-datastax-mongodb-and-couchbase-server\/\">2017 NoSQL Technical Comparison Report: Cassandra (DataStax), MongoDB, and Couchbase Server<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<hr\/>\n<p><center><small>The post is written by Vladimir Starostenkov with assistance from Alex Khizhniak.<\/small><\/center><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In most performance comparisons, Redis\u2014an open-source key-value cache\/store\u2014is mainly treated as a caching-only solution. Others are only focused on a single provider.\u00a0However, customers are interested in the deeper utilization of built-in data types and server-side operations. In production, you may have several loads that query your database simultaneously\u2014with different types [&#8230;]<\/p>\n","protected":false},"author":100,"featured_media":51827,"comment_status":"open","ping_status":"closed","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-51809","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 v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A Comparison of Redis Cloud, ElastiCache, openredis, RedisGreen, Redis To Go | Altoros<\/title>\n<meta name=\"description\" content=\"The study evaluates the behavior of six major Redis-as-a-service providers under three scenarios.\" \/>\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\/performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Comparison of Redis Cloud, ElastiCache, openredis, RedisGreen, Redis To Go | Altoros\" \/>\n<meta property=\"og:description\" content=\"In most performance comparisons, Redis\u2014an open-source key-value cache\/store\u2014is mainly treated as a caching-only solution. Others are only focused on a single provider.\u00a0However, customers are interested in the deeper utilization of built-in data types and server-side operations. In production, you may have several loads that query your database simultaneously\u2014with different types [...]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.altoros.com\/blog\/performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go\/\" \/>\n<meta property=\"og:site_name\" content=\"Altoros\" \/>\n<meta property=\"article:published_time\" content=\"2015-01-27T14:17:51+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-04-09T00:38:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2015\/01\/redis-as-a-service-performance-benchmark-featured-image-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"640\" \/>\n\t<meta property=\"og:image:height\" content=\"360\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Vladimir Starostenkov\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta 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He is focused on implementing complex software architectures, including data-intensive systems and Hadoop-driven apps. Having background in computer science, Vladimir is passionate about artificial intelligence and machine learning algorithms. His NoSQL and Hadoop studies were published in NetworkWorld, CIO.com, and other industry media.\",\"url\":\"https:\\\/\\\/www.altoros.com\\\/blog\\\/author\\\/vladimir-starostenkov\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"A Comparison of Redis Cloud, ElastiCache, openredis, RedisGreen, Redis To Go | Altoros","description":"The study evaluates the behavior of six major Redis-as-a-service providers under three scenarios.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.altoros.com\/blog\/performance-benchmark-redis-cloud-vs-elasticache-vs-openredis-vs-redisgreen-vs-redis-to-go\/","og_locale":"en_US","og_type":"article","og_title":"A Comparison of Redis Cloud, ElastiCache, openredis, RedisGreen, Redis To Go | Altoros","og_description":"In most performance comparisons, Redis\u2014an open-source key-value cache\/store\u2014is mainly treated as a caching-only solution. 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