{"id":23776,"date":"2025-02-17T08:22:13","date_gmt":"2025-02-17T16:22:13","guid":{"rendered":"https:\/\/tdengine.com\/?p=23776"},"modified":"2025-03-30T22:57:34","modified_gmt":"2025-03-31T05:57:34","slug":"extracellular-chooses-tdengine-for-scalable-future-proof-bioprocess-data-management","status":"publish","type":"post","link":"https:\/\/tdengine.com\/extracellular-chooses-tdengine-for-scalable-future-proof-bioprocess-data-management\/","title":{"rendered":"Extracellular Chooses TDengine for Scalable, Future-Proof Bioprocess Data Management"},"content":{"rendered":"\n<p><a href=\"https:\/\/www.extracellular.com\/\" rel=\"noopener\">Extracellular<\/a>, a pioneering biotech company based in the UK, specializes in cell-cultivated product manufacturing by optimizing bioprocesses for scalable and efficient cell growth. Their mission is to streamline and accelerate the development of cell-based processes by providing cutting-edge biomanufacturing expertise, helping companies transition from R&amp;D to large-scale production.<\/p>\n\n\n\n<h2 class=\"gb-text\">The Challenge: Finding the Right Database for Bioprocess Data<\/h2>\n\n\n\n<p>Bioreactors used in bioprocessing generate vast amounts of time-series data, including temperature, pH levels, dissolved oxygen, and nutrient consumption. This data must be <strong>ingested in real time<\/strong>, <strong>analyzed for process optimization<\/strong>, and <strong>stored efficiently<\/strong> for historical insights and regulatory compliance.<\/p>\n\n\n\n<p>Extracellular needed a <strong>scalable<\/strong> and <strong>cost-effective<\/strong> solution that could:<\/p>\n\n\n\n<ul>\n<li>\n<p><strong>Ensure real-time dashboards and analytics<\/strong> for operators and scientists.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Handle high-frequency data ingestion<\/strong> using MQTT for seamless equipment integration.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Maintain low-latency access to historical data<\/strong> for machine learning and process optimization.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Scale efficiently<\/strong> as the company expanded operations from lab to full-scale production.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Run both in the cloud and locally<\/strong> without vendor lock-in.<\/p>\n<\/li>\n<\/ul>\n\n\n\n<h2 class=\"gb-text\">Why TDengine? Benchmarking Against Other Time-Series Databases<\/h2>\n\n\n\n<p>Before selecting a database, Extracellular benchmarked <strong>TDengine against two other popular <a href=\"https:\/\/tdengine.com\/what-is-a-time-series-database\/\">time-series databases<\/a> (TSDB)<\/strong>, evaluating all solutions across critical industrial requirements:<\/p>\n\n\n\n<table id=\"tablepress-77\" class=\"tablepress tablepress-id-77\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Key Evaluation Criteria<\/th><th class=\"column-2\">TDengine<\/th><th class=\"column-3\">Other TSDBs<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Edge-to-Cloud Replication<\/td><td class=\"column-2\">\u2705 Built-in &amp; seamless<\/td><td class=\"column-3\"><span style=\"color: red; font-weight: 700\">\u274c<\/span> Unreliable, requires extra software<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">High Availability (HA)<\/td><td class=\"column-2\">\u2705 Native HA support<\/td><td class=\"column-3\"><span style=\"color: red; font-weight: 700\">\u274c<\/span> Enterprise-only feature<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Tiered Storage<\/td><td class=\"column-2\">\u2705 Automatic cold storage to object storage (S3, GCS, B2, etc.)<\/td><td class=\"column-3\"><span style=\"color: red; font-weight: 700\">\u274c<\/span> Manual or unavailable<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Open-Source &amp; Local Deployment<\/td><td class=\"column-2\">\u2705 Fully open-source, self-hosted or cloud<\/td><td class=\"column-3\"><span style=\"color: red; font-weight: 700\">\u274c<\/span> Limited: no clustering, query history limited to 72 hours<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Performance (Ingestion &amp; Query Speed)<\/td><td class=\"column-2\">\u2705 Up to 16x faster ingestion, 21.2x faster queries<\/td><td class=\"column-3\"><span style=\"color: red; font-weight: 700\">\u274c<\/span> Slower ingestion &amp; queries<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">Compression Efficiency<\/td><td class=\"column-2\">\u2705 1\/2 disk space usage compared to other TSDBs<\/td><td class=\"column-3\"><span style=\"color: red; font-weight: 700\">\u274c<\/span> Higher storage overhead<\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">Cost-Effectiveness<\/td><td class=\"column-2\">\u2705 Lower TCO, flexible deployment<\/td><td class=\"column-3\"><span style=\"color: red; font-weight: 700\">\u274c<\/span> High costs for industry-critical features: HA, cloud, and scaling<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-77 from cache -->\n\n\n<p>For Extracellular, <strong>TDengine\u2019s edge&#8211;cloud synchronization was the biggest advantage<\/strong>. Unlike <strong>other TSDBs, where edge&#8211;cloud replication can be unreliable<\/strong>, <strong>TDengine supports it natively<\/strong>, ensuring seamless <strong>data continuity<\/strong> across their lab and manufacturing sites.<\/p>\n\n\n\n<p>Additionally, while <strong>TDengine&#8217;s open-source offering is robust and feature-rich<\/strong>, <strong>other TSDBs&#8217; open-source versions lack essential functionality<\/strong> for industrial use. In one case, the evaluated open-source TSDB <strong>did not support clustering<\/strong>, meaning it <strong>could not scale across multiple nodes<\/strong>, and queries were <strong>limited to only the most recent 72 hours of data<\/strong>, making it unsuitable for long-term analytics.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>&#8220;TDengine has been a game-changer for us. Its features designed for industrial use cases, such as native replication and HA, as well as stream processing, have far exceeded our expectations. Of course, the performance is also brilliant, capable of running well on the edge and in the cloud. The support from the TDengine team has been exceptional, making our transition seamless and ensuring our success from day one.<\/em>&#8220;<\/p>\n<cite>&#8212; <strong>Alex Tolenaar, Technical Specialist, Extracellular<\/strong><\/cite><\/blockquote>\n\n\n\n<h2 class=\"gb-text\">TDengine&#8217;s Built-in Industrial Capabilities<\/h2>\n\n\n\n<p>As an <strong>industrial biotech<\/strong> company, Extracellular required a time-series database that could natively support:<\/p>\n\n\n\n<ul class=\"gb-element-19411c28\">\n<li>\n<p>\u2705 <strong>Edge-cloud synchronization<\/strong>: ensuring continuous operations and real-time synchronization<\/p>\n<\/li>\n\n\n\n<li>\n<p>\u2705 <strong>High availability (HA)<\/strong>: critical for maintaining uptime in manufacturing.<\/p>\n<\/li>\n\n\n\n<li>\n<p>\u2705 <strong>Tiered storage<\/strong>: automatically archiving long-term data to cost-effective cloud storage<\/p>\n<\/li>\n<\/ul>\n\n\n\n<p>These were <strong>must-haves<\/strong> for their operations, and <strong>TDengine delivered them out of the box<\/strong>, while other TSDBs required third-party solutions for similar functionality.<\/p>\n\n\n\n<h2 class=\"gb-text\">Deployment Roadmap: Cloud to Edge to High Availability<\/h2>\n\n\n\n<p>Extracellular structured its <strong>TDengine deployment<\/strong> in three key phases to optimize data flow, reliability, and cost efficiency.<\/p>\n\n\n\n<h3 class=\"gb-text\">Phase 1: TDengine Cloud for Centralized Data Management<\/h3>\n\n\n\n<ul>\n<li>\n<p>Initial deployment of TDengine Cloud to consolidate data from lab and manufacturing sites<\/p>\n<\/li>\n\n\n\n<li>\n<p>Seamless <strong>edge&#8211;cloud synchronization<\/strong> to ensure all sites store data centrally<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Real-time dashboarding<\/strong> and <strong>historical data analytics<\/strong> using Grafana<\/p>\n<\/li>\n<\/ul>\n\n\n\n<h3 class=\"gb-text\">Phase 2: Edge Deployment for Real-Time Decision-Making<\/h3>\n\n\n\n<ul>\n<li>\n<p>Installing TDengine <strong>on-premises at lab and plant sites<\/strong> to store and process data locally<\/p>\n<\/li>\n\n\n\n<li>\n<p>Ensuring <strong>continuous operations even if internet connectivity is lost<\/strong><\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Edge buffering<\/strong> before syncing with TDengine Cloud, reducing latency for local analytics<\/p>\n<\/li>\n<\/ul>\n\n\n\n<h3 class=\"gb-text\">Phase 3: High Availability for Reliability and Data Integrity<\/h3>\n\n\n\n<ul>\n<li>\n<p>Deploying <strong>TDengine in HA mode<\/strong> to prevent data loss and ensure system redundancy<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Automated replication<\/strong> across multiple nodes for fault tolerance<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Tiered storage<\/strong> for long-term retention on cloud-based object storage (S3, GCS, B2, etc.)<\/p>\n<\/li>\n<\/ul>\n\n\n\n<h2 class=\"gb-text\">Results and Future Plans<\/h2>\n\n\n\n<p>By choosing <strong>TDengine over other TSDBs<\/strong>, Extracellular has ensured a <strong>scalable, cost-effective, and high-performance<\/strong> data infrastructure tailored for industrial use. Key benefits include:<\/p>\n\n\n\n<ul>\n<li>\n<p><strong>Seamless edge-to-cloud integration<\/strong> with <strong>zero third-party dependencies<\/strong><\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Lower latency<\/strong> for <strong>real-time decision-making and historical analysis<\/strong><\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Full control over data<\/strong> with <strong>self-hosted deployment options<\/strong> &#8212; unlike other TSDBs&#8217; <strong>cloud lock-in<\/strong><\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Significant cost savings<\/strong> by avoiding other TSDBs&#8217; high pricing for HA and cloud services.<\/p>\n<\/li>\n<\/ul>\n\n\n\n<p>Looking ahead, Extracellular plans to expand TDengine&#8217;s role in <strong>advanced data science workflows<\/strong>, <strong>AI-driven process optimization<\/strong>, and <strong>multi-site data synchronization<\/strong> for full-scale bioprocessing.<\/p>\n\n\n\n<h2 class=\"gb-text\">Conclusion<\/h2>\n\n\n\n<p>Extracellular&#8217;s decision to implement <strong>TDengine over other time-series databases<\/strong> highlights the importance of <strong>edge&#8211;cloud synchronization, high availability, and tiered storage<\/strong> in industrial applications. As bioprocessing scales up, <strong>a robust, open-source, and cost-effective time-series database<\/strong> is essential for success.<\/p>\n\n\n\n<p>With TDengine, <strong>Extracellular is future-proofing its operations<\/strong> &#8212; <strong>ensuring seamless data collection, real-time insights, and long-term scalability<\/strong> in one unified platform.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Extracellular, a biotech company based in the UK, has selected TDengine as its time-series database. Find out what factors affected the company&#8217;s decision.<\/p>\n","protected":false},"author":127,"featured_media":23852,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[23,231],"tags":[],"ppma_author":[261],"class_list":["post-23776","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-studies","category-manufacturing"],"authors":[{"term_id":261,"user_id":127,"is_guest":0,"slug":"jfan","display_name":"Jim Fan","avatar_url":"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/jfan-profile-new.jpg?strip=all&#038;sharp=1&#038;resize=96%2C96","1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""}],"_links":{"self":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts\/23776","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/users\/127"}],"replies":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/comments?post=23776"}],"version-history":[{"count":9,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts\/23776\/revisions"}],"predecessor-version":[{"id":23831,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts\/23776\/revisions\/23831"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/media\/23852"}],"wp:attachment":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/media?parent=23776"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/categories?post=23776"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/tags?post=23776"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/ppma_author?post=23776"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}