Azure DocumentDB Pricing Overview
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Prices are estimates only and are not intended as actual price quotes. Actual pricing may vary depending on the type of agreement entered with Microsoft, date of purchase, and the currency exchange rate. Prices are calculated based on US dollars and converted using London closing spot rates that are captured in the two business days prior to the last business day of the previous month end. If the two business days prior to the end of the month fall on a bank holiday in major markets, the rate setting day is generally the day immediately preceding the two business days. This rate applies to all transactions during the upcoming month. Sign in to the Azure pricing calculator to see pricing based on your current program/offer with Microsoft. Contact an Azure sales specialist for more information on pricing or to request a price quote. See frequently asked questions about Azure pricing. Learn how you can save on your dynamic workloads with savings plan for databases.
美国政府实体有资格从授权解决方案提供商处购买 Azure 政府服务（无需预付定金），或者可直接通过即用即付在线订阅购买。
重要提示 - 该价格 (R$) 只是一个参考；这是一项国际交易，最终价格受汇率和所含 IOF 税的影响。不会发布 eNF。
美国政府实体有资格从授权解决方案提供商处购买 Azure 政府服务（无需预付定金），或者可直接通过即用即付在线订阅购买。
重要提示 - 该价格 (R$) 只是一个参考；这是一项国际交易，最终价格受汇率和所含 IOF 税的影响。不会发布 eNF。
Azure DocumentDB is ideal for modernizing and scaling MongoDB workloads in the cloud.:
- Familiar MongoDB API for seamless migration
- Optimized for Enterprise and AI-powered applications.
- Fully managed and open source (Linux Foundation)—run in Azure or anywhere with multi-cloud flexibility
Learn more about Azure DocumentDB.
节点(计算和内存)
Each Azure DocumentDB cluster has one or more nodes. As the performance needs of your MongoDB workload grow, you can vertically scale by upgrading your cluster tier to larger nodes with more compute and memory or horizontally scale by adding (sharding) additional nodes to your cluster.
| 群集层 | 每个节点的 vCore 数 | 每个节点的内存（以 GiB 为单位） | 每个节点的价格 | 1 Year Reserved | 3 Year Reserved |
|---|---|---|---|---|---|
| M10 | 1 | 2 | $- | N/A | N/A |
| M20 | 2 | 4 | $- | N/A | N/A |
| M25 | 2 (可突发) | 8 | $- | N/A | N/A |
| M30 | 2 | 8 | $- |
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| M40 | 4 | 16 | $- |
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| M50 | 8 | 32 | $- |
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| M60 | 16 | 64 | $- |
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| M80 | 32 | 128 | $- |
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| M200 | 64 | 256 | $- |
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| M200-Autoscale | 最大 64 | 最大 256 | $- - $- | N/A | N/A |
| M300 | 96 | 384 | $- |
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每个节点的存储 – 常规用途存储
You can configure storage for Azure DocumentDB nodes. General purpose storage is charged per GiB of storage you provision and is redundant.
| 价格 | |
|---|---|
| 32 GiB | $-/月 |
| 64 GiB | $-/月 |
| 128 GiB | $-/月 |
| 256 GiB | $-/月 |
| 512 GiB | $-/月 |
| 1,024 GiB | $-/月 |
| 2,048 GiB | $-/月 |
| 4,095 GiB | $-/月 |
| 8,192 GiB | $-/月 |
| 16,384 GiB | $-/月 |
| 32,767 GiB | $-/月 |
High availability (Recommended)
Recommended for production. High availability (HA) avoids database downtime by maintaining standby replicas. HA can be disabled in dev/test scenarios to reduce the cost by 50%.
备份存储
Backup storage is the storage associated with automated backups of your Azure DocumentDB cluster. There is no additional charge for backups up to 35 days.
带宽
Azure Networking bills for data that egresses the Azure cloud to a destination on the internet or transits the Azure WAN between regions, see Azure Networking Bandwidth Pricing.
Flexible savings plan for database workloads
Savings plan for databases is a flexible, spend-based pricing option designed for modern, evolving database environments. Customers commit to a fixed hourly spend for one year or three year term and receive lower prices across eligible Azure database services. Savings are automatically applied to the highest-value usage each hour, helping reduce costs while supporting migration, modernization, and architectural change.
| 一年期折扣 | 三年期折扣 | |
|---|---|---|
| Savings on price per node | 20% | 20% |
Try Azure DocumentDB for free
There are a variety of ways for you to get started free with Azure DocumentDB.
| Azure DocumentDB free tier. Develop and test your MongoDB applications, or run small workloads, free on Azure. | Get Started: Set up a free tier cluster and get hands-on experience with Azure DocumentDB—free for the life of the cluster. |
| Run Azure DocumentDB locally. Develop and test applications on your own machine using the open-source DocumentDB engine—no Azure subscription needed. | Get Started: Clone or download from the Azure DocumentDB GitHub repo to run it locally on Windows, Linux, or macOS. When you're ready, deploy to Azure for a fully managed experience with built-in scalability and SLA’s. |
Azure 定价和购买选项
其他资源
Azure DocumentDB
详细了解 Azure DocumentDB 特性和功能。
定价计算器
估计每月使用任何 Azure 产品组合应产生的费用。
SLA
查看 Azure DocumentDB 的服务级别协议。
文档
查看技术教程、视频和更多 Azure DocumentDB 资源。
常见问题解答
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Azure DocumentDB offers simple, predictable pricing based on vCores and storage. Start free forever with the Azure DocumentDB free tier. As your workload grows, scale online to production with cost-effective pricing that supports both predictable and bursty MongoDB usage.
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Azure DocumentDB is available in nearly all major Azure regions globally. You can also run it anywhere—on-premises or in other clouds. It’s open source and multi-cloud, so you can also run it on-premises or in other cloud environments.
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Azure DocumentDB offers a comprehensive full-stack 99.995% availability SLA for mission-critical applications, backed by Microsoft’s enterprise-grade cloud.
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Azure DocumentDB is a fully managed, open-source, MongoDB-compatible database service. It supports MongoDB APIs and tools, making it ideal for migrating, modernizing, or building apps using your existing MongoDB skills and code.
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Autoscale adjusts compute instantly based on usage. Pricing is based on hourly CPU or memory utilization—up to 35%, you pay a low base rate; above that, you pay a higher rate. This avoids overprovisioning and ensures you only pay for what you use.
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Yes. Azure DocumentDB is an open source MongoDB-compatible database, supporting the latest MongoDB wire protocols and features. Applications and tools built for MongoDB work out of the box—no changes required.
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Choose a 3-year plan when you want savings predictability aligned to a longer-term database strategy, such as a multi-year migration or modernization program. Choose a 1-year plan when you prefer a shorter commitment or expect to reassess your needs annually.
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