{"id":4241,"date":"2025-10-27T00:28:53","date_gmt":"2025-10-27T00:28:53","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=4241"},"modified":"2025-10-27T10:56:32","modified_gmt":"2025-10-27T10:56:32","slug":"questdb-cratedb-as-dual-store-telemetry-backbone-performance-benchmarking-and-cost-analysis","status":"publish","type":"post","link":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=4241","title":{"rendered":"QuestDB + CrateDB as Dual-Store Telemetry Backbone: Performance Benchmarking and Cost Analysis"},"content":{"rendered":"\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-spectrcyde wp-block-embed-spectrcyde\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"jmRmZBf4gh\"><a href=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=4238\">QuestDB + CrateDB as Dual-Store Telemetry Backbone: Performance Benchmarking and Cost Analysis<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;QuestDB + CrateDB as Dual-Store Telemetry Backbone: Performance Benchmarking and Cost Analysis&#8221; &#8212; Spectrcyde\" src=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=4238&#038;embed=true#?secret=VAMmIuThQG#?secret=jmRmZBf4gh\" data-secret=\"jmRmZBf4gh\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>Modern distributed systems generate massive volumes of<br>telemetry data requiring both real-time processing and longterm analytical storage. Traditional single-database approaches<br>struggle to optimize for conflicting requirements: time-series<br>workloads demand high ingestion throughput and temporal<br>queries, while analytical workloads require flexible schema<br>support and complex aggregations [1].<br>This paper evaluates a dual-store telemetry backbone combining QuestDB [2] for time-series optimization and CrateDB [3] for structured analytics. Our approach addresses<br>the fundamental trade-off between ingestion performance and<br>query flexibility by routing telemetry streams to specialized<br>storage engines optimized for their respective workload characteristics.<br>A. Contributions<br>We make the following key contributions:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Comprehensive benchmarking of QuestDB and CrateDB across ingestion, query, and cost dimensions using<br>realistic telemetry workloads<\/li>\n\n\n\n<li>Dual-store architecture evaluation demonstrating performance characteristics and operational trade-offs<\/li>\n\n\n\n<li>Cost analysis including storage efficiency, retention policies, and operational overhead quantification<\/li>\n\n\n\n<li>Implementation guidelines for deploying dual-store<br>telemetry systems in production environments<br>B. System Architecture<br>Our dual-store telemetry backbone implements parallel ingestion to both QuestDB and CrateDB, as shown in Figure 1.<br>The ingestion pipeline routes telemetry streams via Influx Line<br>Protocol (ILP) to QuestDB for time-series optimization and<br>HTTP API to CrateDB for structured storage.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Modern distributed systems generate massive volumes oftelemetry data requiring both real-time processing and longterm analytical storage. Traditional single-database approachesstruggle to optimize for conflicting requirements: time-seriesworkloads demand high ingestion throughput and temporalqueries, while analytical workloads require flexible schemasupport and complex aggregations [1].This paper evaluates a dual-store telemetry backbone combining QuestDB [2] for time-series optimization and CrateDB&hellip;&nbsp;<a href=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=4241\" rel=\"bookmark\"><span class=\"screen-reader-text\">QuestDB + CrateDB as Dual-Store Telemetry Backbone: Performance Benchmarking and Cost Analysis<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":60,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[10,7],"tags":[],"class_list":["post-4241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-signal_scythe","category-the-truben-show"],"_links":{"self":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/4241","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4241"}],"version-history":[{"count":1,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/4241\/revisions"}],"predecessor-version":[{"id":4242,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/4241\/revisions\/4242"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/media\/60"}],"wp:attachment":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4241"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4241"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4241"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}