{"id":4003,"date":"2025-01-16T09:39:02","date_gmt":"2025-01-16T08:39:02","guid":{"rendered":"https:\/\/www.openstor.net\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/"},"modified":"2025-01-16T09:52:37","modified_gmt":"2025-01-16T08:52:37","slug":"difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence","status":"publish","type":"post","link":"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/","title":{"rendered":"Difference between Metro Cluster hyperconvergence and distributed hyperconvergence"},"content":{"rendered":"<p><strong>Hyperconvergence has revolutionized IT infrastructure<\/strong>, simplifying management and improving operational efficiency. Two distinct approaches to hyperconvergence are the <strong>distributed<\/strong> (scale-out) <strong>architecture<\/strong> and the <a href=\"https:\/\/www.openstor.net\/en\/openstor-joviandss\/\">OpenStor HA Metro Cluster<\/a> <strong>configuration.<\/strong> <strong> We analyze the key differences between these solutions<\/strong> to understand which one is best suited to different business needs.<\/p>\n<h3>Distributed hyperconvergence (scale-out)<\/h3>\n<p>Distributed hyperconvergence is based on a <strong>scale-out<\/strong> architecture, <strong>in which compute, storage and network resources are integrated and distributed across multiple nodes<\/strong> within a single cluster. This configuration <strong>allows the infrastructure to be expanded by adding new nodes<\/strong> while maintaining linear scalability.<\/p>\n<p><strong>Main features:<\/strong><\/p>\n<ol start=\"1\" data-spread=\"false\">\n<li><strong>Dynamic scalability:<\/strong> Adding nodes allows you to increase available resources, providing flexibility and adaptability to growing business needs.<\/li>\n<li><strong>Limited geographic distribution:<\/strong> Generally, all nodes in the cluster must be physically close together, as latency between nodes can affect performance.<\/li>\n<li><strong>Resource sharing:<\/strong> Each node contributes to overall resources, sharing workloads and reducing bottlenecks.<\/li>\n<li><strong>Internal resilience:<\/strong> Data replication between nodes provides protection against hardware failure, ensuring business continuity.<\/li>\n<\/ol>\n<p><strong>Advantages:<\/strong><\/p>\n<ul data-spread=\"false\">\n<li>Ideal for growing environments that require rapid expansions.<\/li>\n<li>Simple to implement in centralized settings.<\/li>\n<\/ul>\n<p><strong>Limits:<\/strong><\/p>\n<ul data-spread=\"false\">\n<li>Latency dependence makes it difficult to use at geographically separated sites.<\/li>\n<li>Risk of disruptions in case of local disasters.<\/li>\n<\/ul>\n<h3>Hyperconvergence Metro Cluster OpenStor<\/h3>\n<p><strong>OpenStor Metro Cluster hyperconvergence represents an evolution of hyperconverged architecture<\/strong> designed to provide high availability and fault tolerance over long distances. In this configuration, <strong>two or more physically separate sites are connected via synchronous mirroring<\/strong> and high-speed networking (e.g., 40GbE).<\/p>\n<a href=\"https:\/\/www.openstor.net\/en\/openstor-joviandss\/\" class=\"su-button su-button-style-default\" style=\"color:#FFFFFF;background-color:#b20255;border-color:#8f0244;border-radius:7px\" target=\"_self\"><span style=\"color:#FFFFFF;padding:0px 20px;font-size:16px;line-height:32px;border-color:#ca4e88;border-radius:7px;text-shadow:none\"> DISCOVER MORE<\/span><\/a>\n<p>&nbsp;<\/p>\n<p><strong>Main features:<\/strong><\/p>\n<ol start=\"1\" data-spread=\"false\">\n<li><strong>High Availability (HA):<\/strong> Thanks to synchronous data mirroring, any changes made at one node are replicated in real time at another site, ensuring zero data loss in case of failure.<\/li>\n<li><strong>Geographic distribution:<\/strong> Nodes may be in distant sites, offering resilience against local or regional disasters.<\/li>\n<li><strong>Automatic failover:<\/strong> In the event of a node or site failure, the system automatically activates failover, keeping services running without interruption.<\/li>\n<li><strong>High performance:<\/strong> The use of broadband connections minimizes latency between nodes, ensuring optimal performance even in distributed environments.<\/li>\n<\/ol>\n<p><strong>Advantages:<\/strong><\/p>\n<ul data-spread=\"false\">\n<li>Ideal solution for companies that need business continuity without compromise.<\/li>\n<li>Advanced disaster protection through geographic distribution.<\/li>\n<li>Seamless integration with VMware ESXi and Open-E JovianDSS for Metro Cluster solutions.<\/li>\n<\/ul>\n<p><strong>Limits:<\/strong><\/p>\n<ul data-spread=\"false\">\n<li>Greater implementation complexity than a scale-out cluster.<\/li>\n<li>Higher initial costs due to the need for dedicated network connections and advanced storage.<\/li>\n<\/ul>\n<h3>Which solution to choose?<\/h3>\n<p><strong>Distributed hyperconvergence:<\/strong> Suitable for organizations that require scalability and operate at a single site or with minimal fault tolerance requirements. <strong>OpenStor HA Metro Cluster:<\/strong> Ideal for companies that need large-scale resiliency, advanced data protection and business continuity across multiple sites. For companies that cannot afford disruptions and are looking for a robust and reliable solution, <strong>the HA Metro Cluster configuration is the best choice.<\/strong> <strong>With its ability to protect data even during disasters<\/strong> and its high availability, it offers unparalleled operational security.<\/p>\n<h3>Conclusions<\/h3>\n<p><strong>Hyperconverged architecture has multiple declinations<\/strong>, each with its own strengths. While the scale-out architecture is an effective solution for growing centralized environments, the <a href=\"https:\/\/www.openstor.net\/en\/openstor-joviandss\/\">OpenStor HA Metro Cluster<\/a> configuration is the preferred choice for realities that require fault tolerance and uninterrupted operations across multiple locations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hyperconvergence has revolutionized IT infrastructure, simplifying management and improving operational efficiency. Two distinct approaches to hyperconvergence are the distributed (scale-out) architecture and the OpenStor HA Metro Cluster configuration. We analyze the key differences between these solutions to understand which one is best suited to different business needs. Distributed hyperconvergence (scale-out) Distributed hyperconvergence is based on [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":4000,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[],"tags":[],"class_list":["post-4003","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Difference between Metro Cluster and Distributed Hyperconvergence<\/title>\n<meta name=\"description\" content=\"Two distinct approaches to hyperconvergence are the distributed architecture and the OpenStor HA Metro Cluster configuration. Here are the differences.\" \/>\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.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Difference between Metro Cluster and Distributed Hyperconvergence\" \/>\n<meta property=\"og:description\" content=\"Two distinct approaches to hyperconvergence are the distributed architecture and the OpenStor HA Metro Cluster configuration. Here are the differences.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/\" \/>\n<meta property=\"og:site_name\" content=\"Sistemi di iperconvergenza OpenStor\" \/>\n<meta property=\"article:published_time\" content=\"2025-01-16T08:39:02+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-16T08:52:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.openstor.net\/wp-content\/uploads\/2025\/01\/OpenStor-JovianDSS-retro-doppio-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"594\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"marco.marasco\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"marco.marasco\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/\"},\"author\":{\"name\":\"marco.marasco\",\"@id\":\"https:\/\/www.openstor.net\/en\/#\/schema\/person\/19c1c1ed9bb61ccd31811d08a457b153\"},\"headline\":\"Difference between Metro Cluster hyperconvergence and distributed hyperconvergence\",\"datePublished\":\"2025-01-16T08:39:02+00:00\",\"dateModified\":\"2025-01-16T08:52:37+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/\"},\"wordCount\":533,\"image\":{\"@id\":\"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.openstor.net\/wp-content\/uploads\/2025\/01\/OpenStor-JovianDSS-retro-doppio-1.jpg\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/\",\"url\":\"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/\",\"name\":\"Difference between Metro Cluster and Distributed Hyperconvergence\",\"isPartOf\":{\"@id\":\"https:\/\/www.openstor.net\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.openstor.net\/en\/difference-between-metro-cluster-hyperconvergence-and-distributed-hyperconvergence\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.openstor.net\/wp-content\/uploads\/2025\/01\/OpenStor-JovianDSS-retro-doppio-1.jpg\",\"datePublished\":\"2025-01-16T08:39:02+00:00\",\"dateModified\":\"2025-01-16T08:52:37+00:00\",\"author\":{\"@id\":\"https:\/\/www.openstor.net\/en\/#\/schema\/person\/19c1c1ed9bb61ccd31811d08a457b153\"},\"description\":\"Two distinct approaches to hyperconvergence are the distributed architecture and the OpenStor HA Metro Cluster configuration. 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