{"id":8008,"date":"2025-09-04T14:43:59","date_gmt":"2025-09-04T12:43:59","guid":{"rendered":"https:\/\/launix.de\/launix\/?p=8008"},"modified":"2025-09-04T14:44:00","modified_gmt":"2025-09-04T12:44:00","slug":"mysql-is-too-slow-why-you-should-try-memcp-for-heavy-aggregation-workloads","status":"publish","type":"post","link":"https:\/\/launix.de\/launix\/en\/mysql-is-too-slow-why-you-should-try-memcp-for-heavy-aggregation-workloads\/","title":{"rendered":"MySQL is too slow? Why you should try MemCP for heavy aggregation workloads"},"content":{"rendered":"<p>When classic row-store databases become a bottleneck, an in-memory columnar engine can be the performance jump you need.<\/p>\n\n\n\n<!--more-->\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>If you&#8217;ve ever typed &#8220;MySQL is too slow&#8221; into a search box, you&#8217;re not alone. Many applications start on MySQL and then hit a wall when analytics, aggregation, or mixed OLTP\/OLAP workloads grow. The obvious fixes \u2014 indexing, query tuning, sharding \u2014 help, but they don&#8217;t always address fundamental storage-model limits. Also Scale-Out-Proxies and Load Balancers do not help. <\/p>\n\n\n\n<p>Enter <strong>MemCP<\/strong>: an open source, in-memory, column-oriented database developed to tackle just these pain points. MemCP is designed for modern web services and microservices that need fast aggregation and low-latency access while remaining easy for developers to adopt.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why MemCP helps when MySQL struggles<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Columnar storage<\/strong>: aggregations and analytics run much faster on columnar layouts because only the needed columns are read and processed.<\/li>\n\n\n\n<li><strong>In-memory engine<\/strong>: avoids costly disk I\/O for hot datasets, giving large speedups for real-time queries.<\/li>\n\n\n\n<li><strong>MySQL-compatible front end<\/strong>: makes experimentation and migration easier \u2014 you can keep familiar tooling while testing MemCP on heavy queries.<\/li>\n\n\n\n<li><strong>Small base footprint<\/strong>: MemCP&#8217;s docs describe surprisingly modest base memory requirements for the system itself, making it easy to spin up test instances.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Real-world approach<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Identify the slow queries in MySQL (slow query log, EXPLAIN).<\/li>\n\n\n\n<li>Prototype those reports\/aggregations on MemCP using the same SQL patterns.<\/li>\n\n\n\n<li>Compare latency and resource usage (MemCP documentation includes comparative benchmarks).<\/li>\n\n\n\n<li>If results look good, consider a hybrid architecture: keep MySQL for transactional durability and use MemCP for analytics and heavy read queries.<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Try it out<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Project site\/Docs: <a href=\"https:\/\/memcp.org\">https:\/\/memcp.org<\/a><\/li>\n\n\n\n<li>Source code and README: <a href=\"https:\/\/github.com\/launix-de\/memcp\">https:\/\/github.com\/launix-de\/memcp<\/a><\/li>\n<\/ul>\n\n\n\n<p>MemCP is already documented with deployment instructions, examples for microservices integration, and comparison writeups versus MySQL. If you&#8217;re battling slow analytic queries today, it&#8217;s worth a quick proof-of-concept \u2014 the performance gains for aggregation workloads can be dramatic.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>","protected":false},"excerpt":{"rendered":"<p>When classic row-store databases become a bottleneck, an in-memory columnar engine can be the performance jump you need.<\/p>","protected":false},"author":2,"featured_media":6010,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_uag_custom_page_level_css":"","footnotes":""},"categories":[129],"tags":[],"class_list":["post-8008","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-memcp","single-item"],"featured_image_urls_v2":{"full":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"thumbnail":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo-150x150.png",150,150,true],"medium":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"medium_large":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"large":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"1536x1536":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"2048x2048":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"trp-custom-language-flag":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo-14x12.png",14,12,true],"xs-thumb":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo-64x64.png",64,64,true],"appku-shop-single":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false]},"post_excerpt_stackable_v2":"<p>When classic row-store databases become a bottleneck, an in-memory columnar engine can be the performance jump you need. If you&#8217;ve ever typed &#8220;MySQL is too slow&#8221; into a search box, you&#8217;re not alone. Many applications start on MySQL and then hit a wall when analytics, aggregation, or mixed OLTP\/OLAP workloads grow. The obvious fixes \u2014 indexing, query tuning, sharding \u2014 help, but they don&#8217;t always address fundamental storage-model limits. Also Scale-Out-Proxies and Load Balancers do not help. Enter MemCP: an open source, in-memory, column-oriented database developed to tackle just these pain points. MemCP is designed for modern web services and&hellip;<\/p>\n","category_list_v2":"<a href=\"https:\/\/launix.de\/launix\/en\/category\/memcp\/\" rel=\"category tag\">MemCP<\/a>","author_info_v2":{"name":"Carl-Philip H\u00e4nsch","url":"https:\/\/launix.de\/launix\/en\/author\/carli\/"},"comments_num_v2":"0 comments","uagb_featured_image_src":{"full":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"thumbnail":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo-150x150.png",150,150,true],"medium":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"medium_large":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"large":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"1536x1536":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"2048x2048":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false],"trp-custom-language-flag":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo-14x12.png",14,12,true],"xs-thumb":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo-64x64.png",64,64,true],"appku-shop-single":["https:\/\/launix.de\/launix\/wp-content\/uploads\/2024\/06\/memcp-logo.png",256,216,false]},"uagb_author_info":{"display_name":"Carl-Philip H\u00e4nsch","author_link":"https:\/\/launix.de\/launix\/en\/author\/carli\/"},"uagb_comment_info":0,"uagb_excerpt":"When classic row-store databases become a bottleneck, an in-memory columnar engine can be the performance jump you need.","_links":{"self":[{"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/posts\/8008","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/comments?post=8008"}],"version-history":[{"count":1,"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/posts\/8008\/revisions"}],"predecessor-version":[{"id":8009,"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/posts\/8008\/revisions\/8009"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/media\/6010"}],"wp:attachment":[{"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/media?parent=8008"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/categories?post=8008"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/launix.de\/launix\/en\/wp-json\/wp\/v2\/tags?post=8008"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}