{"id":9642,"date":"2025-03-12T05:00:19","date_gmt":"2025-03-12T12:00:19","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/cosmosdb\/?p=9642"},"modified":"2026-07-21T11:30:25","modified_gmt":"2026-07-21T18:30:25","slug":"making-mongodb-workloads-affordable","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/cosmosdb\/making-mongodb-workloads-affordable\/","title":{"rendered":"Making MongoDB workloads more affordable with M10\/M20 tiers in vCore-based Azure Cosmos DB"},"content":{"rendered":"

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Editor’s note (November 2025):<\/strong> Azure Cosmos DB for MongoDB (vCore) has been renamed to Azure DocumentDB<\/strong>. This article was originally published before the rename, so it uses the product name that was current at the time. While the product name has changed, the technical concepts discussed in this article remain applicable unless otherwise noted. For the latest Azure DocumentDB announcements, features, and technical guidance, visit the Azure DocumentDB Dev Blog<\/strong>.<\/a><\/em><\/p>\n

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vCore based Azure Cosmos DB for MongoDB<\/a> is expanding its offerings with the new cost-effective M10 and M20 tiers for vCore-based deployments. These tiers lower the entry barrier for organizations adopting MongoDB within the Azure ecosystem, offering market-leading affordability while maintaining Azure’s enterprise-grade reliability and features.<\/p>\n

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Market-leading Affordability<\/h2>\n

These new dedicated cluster tiers demonstrate Azure’s commitment to making MongoDB accessible to all users, starting a 1.9 cents\/hour<\/strong>! Cost is not a barrier to choosing vCore-based Azure Cosmos DB for your MongoDB<\/a> workloads.<\/p>\n\n\n\n\n\n
Cluster Tier<\/strong><\/td>\nvCores<\/strong><\/td>\nRAM<\/strong><\/td>\nStorage<\/strong><\/td>\nBase Price<\/strong><\/td>\n<\/tr>\n
M10<\/td>\n1 vCore<\/td>\n2 GiB<\/td>\nUp to 128 GB<\/td>\n$0.0191\/hr<\/td>\n<\/tr>\n
M20<\/td>\n2 vCores<\/td>\n4 GiB<\/td>\nUp to 128 GB<\/td>\n$0.0764\/hr<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Consistent Performance with Storage Flexibility<\/h2>\n

The M10 and M20 tiers provide dedicated compute resources with allocated vCPUs and memory, ensuring stable and predictable performance for your MongoDB workloads. Both tiers support up to 128 GB of storage, allowing ample room for data growth while maintaining cost efficiency. This combination enables you to start small<\/strong> and scale seamlessly<\/strong> as your needs expand.<\/p>\n

Don’t miss this opportunity to explore vCore-based Azure Cosmos DB for MongoDB with these new market-leading, cost-effective cluster tiers. Start your MongoDB<\/a> deployment today and experience the perfect balance of performance, reliability, and affordability.<\/p>\n

Leave a review<\/h2>\n

Tell us about your Azure Cosmos DB experience! Leave a review on PeerSpot and we\u2019ll gift you $50.\u00a0Get started here<\/a>.<\/p>\n

About Azure Cosmos DB<\/h2>\n

Azure Cosmos DB is a fully managed and serverless NoSQL and vector database for modern app development, including AI applications. With its SLA-backed speed and availability as well as instant dynamic scalability, it is ideal for real-time NoSQL and MongoDB applications that require high performance and distributed computing over massive volumes of NoSQL and vector data.<\/p>\n

Try Azure Cosmos DB for free here.<\/a>\u00a0To stay in the loop on Azure Cosmos DB updates, follow us on\u00a0X<\/a>,\u00a0YouTube<\/a>, and\u00a0LinkedIn<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

  Editor’s note (November 2025): Azure Cosmos DB for MongoDB (vCore) has been renamed to Azure DocumentDB. This article was originally published before the rename, so it uses the product name that was current at the time. While the product name has changed, the technical concepts discussed in this article remain applicable unless otherwise noted. […]<\/p>\n","protected":false},"author":125125,"featured_media":9659,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[12,15,14],"tags":[],"class_list":["post-9642","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-announcements","category-mongodb-api","category-core-sql-api"],"acf":[],"blog_post_summary":"

  Editor’s note (November 2025): Azure Cosmos DB for MongoDB (vCore) has been renamed to Azure DocumentDB. This article was originally published before the rename, so it uses the product name that was current at the time. While the product name has changed, the technical concepts discussed in this article remain applicable unless otherwise noted. […]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/posts\/9642","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/users\/125125"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/comments?post=9642"}],"version-history":[{"count":1,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/posts\/9642\/revisions"}],"predecessor-version":[{"id":12755,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/posts\/9642\/revisions\/12755"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/media\/9659"}],"wp:attachment":[{"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/media?parent=9642"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/categories?post=9642"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/tags?post=9642"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}