{"id":12338,"date":"2026-06-02T12:15:22","date_gmt":"2026-06-02T19:15:22","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/cosmosdb\/?p=12338"},"modified":"2026-06-02T03:02:14","modified_gmt":"2026-06-02T10:02:14","slug":"announcing-the-public-preview-of-the-azure-cosmos-db-cost-estimator-for-nosql","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/cosmosdb\/announcing-the-public-preview-of-the-azure-cosmos-db-cost-estimator-for-nosql\/","title":{"rendered":"Announcing the Public Preview of the Azure Cosmos DB Cost Estimator for NoSQL"},"content":{"rendered":"<p><span data-contrast=\"auto\">Today,\u00a0we&#8217;re\u00a0thrilled to announce the public preview of the\u00a0<\/span><b><span data-contrast=\"auto\">Azure Cosmos DB\u00a0Cost Estimator<\/span><\/b><span data-contrast=\"auto\">, a new sizing and pricing experience that takes developers from a blank page to a defensible monthly cost estimate in minutes.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Sizing an\u00a0Azure\u00a0Cosmos DB workload has always been one of the first questions a team has to answer, and historically one of the hardest.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">How many RU\/s? Manual or\u00a0autoscale?\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">One region or three?\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Does multi-region\u00a0writes\u00a0double or triple my bill?\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">What does a vector index actually cost?\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Every one of those decisions changes the number, and most teams need that number before\u00a0they&#8217;ve\u00a0written a single line of code.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI workloads have made this harder, not easier. RAG pipelines, AI chat sessions, vector embeddings, and semantic memory all introduce new variables (embedding dimensions, hybrid search, write amplification) that\u00a0aren&#8217;t\u00a0obvious even to experienced\u00a0Azure\u00a0Cosmos\u00a0DB\u00a0developers. Meanwhile, the business is still asking the same question:\u00a0<\/span><i><span data-contrast=\"auto\">how much will this cost?<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The Cost Estimator is our answer.\u00a0It&#8217;s\u00a0free,\u00a0it&#8217;s\u00a0public, and\u00a0it&#8217;s\u00a0built to be the first stop for anyone scoping an Azure\u00a0Cosmos DB workload in 2026.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/05\/monthly-esitamte.png\"><img decoding=\"async\" class=\"alignnone wp-image-12480 size-full\" src=\"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/05\/monthly-esitamte.png\" alt=\"Screenshot of the Azure Cosmos DB for NoSQL pricing estimator interface titled \u201cGet a monthly estimate, fast.\u201d The page presents two setup options for estimating monthly costs. The first option, \u201cGuide me to my estimate,\u201d offers a guided workflow that asks questions about workload patterns and estimated throughput, storage, and cost. The second option, \u201cLet me configure for myself,\u201d allows users to manually tune all configuration inputs. Each option includes an estimated completion time and a call-to-action button to begin setup.\" width=\"953\" height=\"408\" srcset=\"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/05\/monthly-esitamte.png 953w, https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/05\/monthly-esitamte-300x128.png 300w, https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/05\/monthly-esitamte-768x329.png 768w\" sizes=\"(max-width: 953px) 100vw, 953px\" \/><\/a><\/p>\n<p aria-level=\"2\"><span style=\"font-size: 14pt;\"><b>From Guesswork to Confidence: Why the Cost Estimator<\/b><\/span><\/p>\n<p><span data-contrast=\"auto\">Most database pricing tools fall into one of two camps. Either they ask you to pick a tier (T-shirt sizing, no workload context) or they ask you to type in raw units like\u00a0Operations\u00a0units\u00a0,\u00a0storage GB, or credit hours and multiply. The first is too vague to trust. The second assumes you already know the answer.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Developers scoping a new workload sit in the middle. They know\u00a0roughly what\u00a0they&#8217;re\u00a0building (an AI chat app, a product catalog, a telemetry pipeline) and\u00a0roughly how\u00a0big it is (a prototype, one team, the whole company). They\u00a0don&#8217;t\u00a0know, and\u00a0shouldn&#8217;t\u00a0have to know on day one, what their P99 RU consumption per partition will look like in production.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The\u00a0Cost Estimator\u00a0meets developers where they are. Pick a workload, pick a size, and get a real $\/month number on screen in under two minutes. Then iterate.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p aria-level=\"2\"><span style=\"font-size: 14pt;\"><b>What the Cost Estimator Does<\/b>\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">At its core, the Cost Estimator is a guided wizard that turns a workload description into a monthly cost estimate.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The\u00a0estimator\u00a0ships with a library of pre-built workload scenarios modeled from real\u00a0Azure\u00a0Cosmos DB customer patterns, spanning operational workloads (catalogs, transactions, telemetry), analytical workloads (audit logs, content metadata, activity feeds), and AI-era workloads (chat, RAG, embeddings, semantic memory). Each scenario can be sized across four tiers, from prototype through enterprise. Developers who\u00a0don&#8217;t\u00a0see their shape in the library can\u00a0pick\u00a0the\u00a0<\/span><b><span data-contrast=\"auto\">Custom<\/span><\/b><span data-contrast=\"auto\">\u00a0path and bring their own.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">From there, the calculator walks the user through capacity mode, region topology, backup, indexing, and (for AI workloads) vector configuration. The result is a single $\/month number, broken down by line item, with the full configuration encoded in the URL so it can be shared, bookmarked, or pasted into a PR.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p aria-level=\"2\"><span style=\"font-size: 14pt;\"><b>Built for the AI Era<\/b>\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI workloads are first-class citizens, not an afterthought. The calculator&#8217;s first two scenarios are\u00a0<\/span><b><span data-contrast=\"auto\">AI chat and sessions<\/span><\/b><span data-contrast=\"auto\">\u00a0and\u00a0<\/span><b><span data-contrast=\"auto\">RAG and embeddings<\/span><\/b><span data-contrast=\"auto\">, and the inputs reflect what\u00a0actually drives\u00a0cost in those workloads:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Vector\u00a0dimensions.<\/span><\/b><span data-contrast=\"auto\">\u00a0Embedding size directly affects storage and RU\/s. The calculator lets developers pick a dimension and see the impact\u00a0immediately.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Semantic\u00a0memory patterns.<\/span><\/b><span data-contrast=\"auto\">\u00a0Chat history, session state, and agent memory are baked into the AI chat scenario defaults.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For teams scoping a RAG pipeline or an agent backend, this is the difference between &#8220;I think it&#8217;s a few hundred dollars&#8221; and &#8220;here&#8217;s the breakdown by region, by index type, and by embedding dimension.&#8221;<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/vector.png\"><img decoding=\"async\" class=\"alignnone size-full wp-image-12481\" src=\"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/vector.png\" alt=\"vector image\" width=\"751\" height=\"454\" srcset=\"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/vector.png 751w, https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/vector-300x181.png 300w\" sizes=\"(max-width: 751px) 100vw, 751px\" \/><\/a><\/p>\n<p aria-level=\"2\"><span style=\"font-size: 14pt;\"><b>How to Use It<\/b>\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">There are three primary flows.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Exploring.<\/span><\/b><span data-contrast=\"auto\">\u00a0A developer evaluating\u00a0Azure\u00a0Cosmos DB for a\u00a0new project lands\u00a0on the calculator, picks\u00a0<\/span><i><span data-contrast=\"auto\">RAG and embeddings<\/span><\/i><span data-contrast=\"auto\">, picks\u00a0<\/span><i><span data-contrast=\"auto\">One team or app<\/span><\/i><span data-contrast=\"auto\">, and sees a baseline number in under a minute. They toggle\u00a0<\/span><a href=\"https:\/\/aka.ms\/cosmosdbfree\"><span data-contrast=\"none\">Free Tier<\/span><\/a><span data-contrast=\"auto\">\u00a0on, switch from manual to\u00a0autoscale, and watch the number move. They leave with a defensible estimate and a working mental model of the cost drivers.<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Scaling.<\/span><\/b><span data-contrast=\"auto\">\u00a0An existing customer is about to add a second write region or bump their document size.\u00a0They open the calculator, recreate their current shape, and use the\u00a0<\/span><b><span data-contrast=\"auto\">Compare tab<\/span><\/b><span data-contrast=\"auto\">\u00a0to model the change side by side. They see exactly which line item moves and by how much before they touch production.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Sharing.<\/span><\/b><span data-contrast=\"auto\">\u00a0An architect finishes a configuration and copies the shareable link. The full config is encoded in the URL, so a teammate in Teams or a reviewer on a pull request opens the link and sees the exact same\u00a0estimate;\u00a0no screenshots\u00a0are\u00a0required. CSV export is one click away for finance review.<\/span><span data-ccp-props=\"{}\">\u00a0<a href=\"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/cost-summary.png\"><img decoding=\"async\" class=\"alignnone wp-image-12482 size-full\" src=\"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/cost-summary.png\" alt=\"Screenshot of the Azure Cosmos DB for NoSQL pricing estimator summary page showing a projected monthly cost of $49 per month using the serverless pricing model. The page includes an itemized cost breakdown for throughput, storage, and backup, along with estimated RU usage and monthly costs by document type. A cost projection chart at the bottom visualizes estimated monthly growth over 12 months, increasing from approximately $49 to $140 per month based on projected storage and compute growth. Action buttons allow users to export the estimate or create the configuration directly in the Azure portal.\" width=\"776\" height=\"1233\" srcset=\"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/cost-summary.png 776w, https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/cost-summary-189x300.png 189w, https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/cost-summary-644x1024.png 644w, https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-content\/uploads\/sites\/52\/2026\/06\/cost-summary-768x1220.png 768w\" sizes=\"(max-width: 776px) 100vw, 776px\" \/><\/a><\/span><\/p>\n<p aria-level=\"2\"><span style=\"font-size: 14pt;\"><b>Features\u00a0at a Glance<\/b>\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">A library of pre-built workload scenarios<\/span><\/b><span data-contrast=\"auto\">\u00a0spanning operational, analytical, and AI-era patterns, plus a fully custom path.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Four\u00a0size tiers<\/span><\/b><span data-contrast=\"auto\">\u00a0per scenario, from prototype to enterprise.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Three capacity modes<\/span><\/b><span data-contrast=\"auto\">: provisioned manual (pin RU\/s for predictable cost), provisioned\u00a0autoscale\u00a0(set a max, system scales between 10% and 100% of\u00a0Tmax), and serverless (pay-per-request, ideal for spiky or dev workloads).<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Free Tier toggle<\/span><\/b><span data-contrast=\"auto\">\u00a0(approximately $25\/mo\u00a0discount, one per subscription) for prototypes.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Reserved capacity<\/span><\/b><span data-contrast=\"auto\">\u00a0modeling: 1-year (20% off) and 3-year (30% off) under 1M RU\/s, with progressive tiers above.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Backup\u00a0options<\/span><\/b><span data-contrast=\"auto\">: continuous 7-day (free), continuous 30-day ($0.20\/GB), or periodic (included).<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Availability and region modes<\/span><\/b><span data-contrast=\"auto\">: 99.99% SLA (single region), 99.995% (single region plus Availability Zones), 99.999% (multi-region, 2+ regions), with single-write or multi-region writes.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Indexing<\/span><\/b><span data-contrast=\"auto\">: automatic (default) or off (write-heavy workloads,\u00a0roughly 30%\u00a0of automatic write cost). Custom JSON indexing is on the roadmap.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">AI-era inputs<\/span><\/b><span data-contrast=\"auto\">: vector dimensions and hybrid search.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Shareable URL<\/span><\/b><span data-contrast=\"auto\">\u00a0that encodes the full config.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">CSV\u00a0export<\/span><\/b><span data-contrast=\"auto\">\u00a0for line-item breakdown.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Compare\u00a0tab<\/span><\/b><span data-contrast=\"auto\">\u00a0for side-by-side what-if analysis.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p aria-level=\"2\"><b><span data-contrast=\"auto\">What It Doesn&#8217;t Do (Yet)<\/span><\/b><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">We want this tool to be useful, so we want to be candid about its limits.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">It&#8217;s\u00a0an estimate, not a quote.<\/span><\/b><span data-contrast=\"auto\">\u00a0Your final monthly bill depends on actual usage and may differ from this number.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">Custom\u00a0indexing rules (JSON) are not in public preview.<\/span><\/b><span data-contrast=\"auto\">\u00a0Only\u00a0<\/span><i><span data-contrast=\"auto\">Automatic<\/span><\/i><span data-contrast=\"auto\">\u00a0and\u00a0<\/span><i><span data-contrast=\"auto\">Off<\/span><\/i><span data-contrast=\"auto\">\u00a0are supported during preview. Custom JSON indexing is targeted for general availability.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">No ARM, Bicep, or Terraform export<\/span><\/b><span data-contrast=\"auto\"> of the chosen configuration yet.\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">No\u00a0multi-account aggregation.<\/span><\/b><span data-contrast=\"auto\">\u00a0Each estimate covers one account and one workload.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">&#8211;\u00a0\u00a0<\/span><b><span data-contrast=\"auto\">No real-time pricing pull<\/span><\/b><span data-contrast=\"auto\"> (custom\u00a0JSON)\u00a0from your specific subscription discounts during public preview. The calculator uses public list prices today.\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">If any of these are blockers for your team, please tell us. Roadmap priority is shaped by feedback, and you can share your feedback by clicking the Give Feedback link on the app or\u00a0<\/span><a href=\"mailto:cdbportalfeedback@microsoft.com\"><span data-contrast=\"none\">here<\/span><\/a><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p aria-level=\"2\"><span style=\"font-size: 14pt;\"><b>Try It Today<\/b>\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The Azure Cosmos DB Cost Estimator is live in public preview and free to use. No sign-in\u00a0required.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Try it now:<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/aka.ms\/cosmoscost\"><span data-contrast=\"none\">aka.ms\/cosmoscost<\/span><\/a><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p aria-level=\"2\"><span style=\"font-size: 14pt;\"><b>About Azure Cosmos DB<\/b>\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">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.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">To stay in the loop with Azure Cosmos DB updates, follow us on\u00a0<\/span><a href=\"https:\/\/twitter.com\/AzureCosmosDB\"><span data-contrast=\"none\">X<\/span><\/a><span data-contrast=\"auto\">,\u00a0<\/span><a href=\"https:\/\/www.youtube.com\/c\/AzureCosmosDB\"><span data-contrast=\"none\">YouTube<\/span><\/a><span data-contrast=\"auto\">,\u00a0<\/span><a href=\"https:\/\/www.linkedin.com\/showcase\/azure-cosmos-db\/\"><span data-contrast=\"none\">LinkedIn<\/span><\/a><span data-contrast=\"auto\">, and\u00a0<\/span><a href=\"https:\/\/aka.ms\/cosmos-discord\"><span data-contrast=\"none\">Discord<\/span><\/a><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Today,\u00a0we&#8217;re\u00a0thrilled to announce the public preview of the\u00a0Azure Cosmos DB\u00a0Cost Estimator, a new sizing and pricing experience that takes developers from a blank page to a defensible monthly cost estimate in minutes.\u00a0 Sizing an\u00a0Azure\u00a0Cosmos DB workload has always been one of the first questions a team has to answer, and historically one of the hardest.\u00a0\u00a0 [&hellip;]<\/p>\n","protected":false},"author":133447,"featured_media":12370,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[14],"tags":[],"class_list":["post-12338","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-core-sql-api"],"acf":[],"blog_post_summary":"<p>Today,\u00a0we&#8217;re\u00a0thrilled to announce the public preview of the\u00a0Azure Cosmos DB\u00a0Cost Estimator, a new sizing and pricing experience that takes developers from a blank page to a defensible monthly cost estimate in minutes.\u00a0 Sizing an\u00a0Azure\u00a0Cosmos DB workload has always been one of the first questions a team has to answer, and historically one of the hardest.\u00a0\u00a0 [&hellip;]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/posts\/12338","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\/133447"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/comments?post=12338"}],"version-history":[{"count":2,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/posts\/12338\/revisions"}],"predecessor-version":[{"id":12484,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/posts\/12338\/revisions\/12484"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/media\/12370"}],"wp:attachment":[{"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/media?parent=12338"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/categories?post=12338"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/cosmosdb\/wp-json\/wp\/v2\/tags?post=12338"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}