MongoDB Pricing Explained: A 2026 Guide To MongoDB Costs

MongoDB is a popular non-relational database among developers of distributed apps. This Not Only SQL (NoSQL) database system delivers versatility, high scalability, and a flexible querying model. MongoDB is also remarkable for its fault-tolerance, self-healing, and real-time analytics capabilities.

But many companies also decry that MongoDB pricing is expensive and complicated. We’ll share how the MongoDB pricing model works. Afterward, we’ll share how to find out who, when, and why your MongoDB costs change, so you can optimize them before overspending.

You can always find the most up-to-date information on MongoDB’s pricing model by visiting their pricing documentation.

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MongoDB Pricing Explained

MongoDB pricing is pay-as-you-go, which is a usage-based pricing model. But exactly how much you spend depends on which edition of MongoDB you choose:

Something else. In particular, the Community and Enterprise editions of MongoDB are self-managed and support multi-cloud deployment — and so follow a different billing method from the MongoDB Atlas product.

While it offers limited features, the open-source version offers plenty of capabilities and support, including native sharding, flexible schema, automatic failover, built-in replication, and support for ad hoc queries. MongoDB Community Server is free to use under the Server Side Public License (SSPL). This means that you can tweak and use the source code, but you cannot use it for a commercial SaaS product.

Two more quick facts. First, MongoDB Compass is also free to use. Compass provides the graphical user interface (GUI) that queries, analyzes, and manages data in your MongoDB clusters. You can download it for macOS, Windows, and Linux.

MongoDB Enterprise Advanced Server requires custom pricing, negotiated based on the number of servers and support tier — contact MongoDB sales for a quote.

Beyond the features in Community Server, Enterprise Advanced adds encryption at rest, LDAP and Kerberos authentication, field-level encryption, audit logging, advanced access controls, MongoDB Ops Manager for backup and monitoring, Kubernetes integration, and 24/7 enterprise support with an SLA. For teams in regulated industries — healthcare, finance, government — or with strict data residency requirements, it’s often the only viable self-hosted path.

Here’s a closer look at how MongoDB Atlas billing works.

How Does MongoDB Atlas Billing Work?

Pricing for MongoDB Atlas is usage-based because it charges per hour of cluster usage. However, several factors affect your MongoDB Atlas costs, including your:

MongoDB Atlas follows a Database-as-a-Service (DaaS) model that enables developers to use a robust document data model with a unified query interface for high availability, scalability, and data protection.

Atlas bills the capabilities based on the cluster tier you choose.

What are the different MongoDB clusters?

The default MongoDB Atlas cluster tiers range from M0 to M700, all of which leverage MongoDB 5.0. Each tier has its own default memory (RAM) and storage capacity, as well as maximum storage speed (queries and read/write operations), all of which make up the cluster’s hourly cost.

The following table summarizes how an M0 cluster differs from an M2 or M5 shared cluster, as well as an M10 or larger dedicated cluster.

MongoDB Atlas features by cluster tiers

MongoDB Atlas enables you to see the costs of different clusters before you can change them. You can see the cost of your preferred configuration (without data transfer fees) within the Cluster Overview box. Billing for a specific cluster starts when you upgrade an M0 free cluster to an M2, M5, or larger cluster tier.

The capabilities discussed above explain MongoDB pricing in terms of what you are paying for. The next question is.

How Much Does MongoDB Cost, Really?

MongoDB Atlas prices these capabilities using a tier system: Free, Flex, and Dedicated.

Real-world bills tend to surprise teams who only scoped the hourly instance rate. Consider a common SaaS setup: one M10 cluster for development and staging (~$57/month) and one M30 for production (~$190/month), both on AWS us-east-1. Add backup storage at roughly $0.14/GB for 40 GB ($5.60/month) plus modest cross-region data transfer, and you’re already at $260–$280/month before any support plans or additional Atlas features. Scale to an M50 production cluster with a global multi-region deployment and Atlas Search enabled, and $1,000+/month is realistic.

The variables that most often catch teams off guard:

MongoDB’s Atlas Pricing Calculator lets you model costs before committing to a configuration. It’s worth running your target cluster setup through it before spinning anything up in production.

MongoDB pricing tiers

Pricing also varies based on the cloud provider you use. Here’s what all of this looks like:

MongoDB Free Tier

The MongoDB Atlas free tier is available with M0, M2, and M5 cluster tiers within a sandbox environment, and includes up to 5GB storage, 512 MB RAM shared, and shared vCPU. The free tier also supports monitoring and alerting and diagnostics and performance optimization tools.

Security-wise, you get always-on authentication, end-to-end encryption, and client-side field-level encryption. The tier also supports Atlas Search, Chats, and monitoring and alerting integrations.

MongoDB Flex

MongoDB previously offered M2 and M5 Shared clusters as a low-cost step up from the free tier. These tiers have since been deprecated and are no longer available for new clusters. If you have an existing M2 or M5 cluster, MongoDB is migrating it to the Atlas Flex Tier.

MongoDB Dedicated

Dedicated MongoDB clusters start at around $0.08 per hour (approximately $57 per month) for the entry-level M10 tier. Pricing scales across M10, M20, M30, M40, M50, M60, M80, M140, M200, M300, and M700 tiers, with increasing compute, memory, and storage capacity.

For multi-region deployments, costs are higher than single-region clusters, as they require multiple nodes across regions and incur additional replication and data transfer charges, rather than following a fixed starting price.

Pricing varies by cloud provider and region (with AWS us-east-1 typically among the lowest-cost options), and does not include additional charges such as backups, data transfer, or optional Atlas features.

MongoDB Atlas Flex Tier

In February 2025, MongoDB made the Atlas Flex Tier generally available, replacing the legacy M2/M5 Shared clusters and effectively superseding the Serverless instance model for most use cases. It is now the default entry-level paid tier — if you’ve seen older guides referencing “M2,” “M5,” or “Serverless” as active options, those are now deprecated.

Flex uses a hybrid pricing model, with a base fee (around $8/month) plus usage-based charges capped at a low monthly maximum (roughly $30), significantly reducing the unpredictable costs associated with serverless pricing. It’s designed for low-to-moderate workloads, with automatic scaling as traffic increases.

Unlike the legacy Shared tier, Flex supports MongoDB Atlas Search, Atlas Vector Search, Change Streams, Atlas Triggers, and other Atlas platform features. This makes it a strong fit for development environments, MVPs, and production applications with variable or moderate traffic that don’t yet justify a Dedicated cluster.

MongoDB pricing on Amazon Web Services (AWS)

MongoDB Atlas pricing on AWS is pay-as-you-go, with a free forever tier available for starters. Beyond the free M0 tier, AWS charges $8–$30 per month for Flex instances or starting at $57 per month for Dedicated instances, depending on cluster size and configuration.

AWS instance type, AWS region, consumption, and other factors, like data transfer and backup policy, will also affect your MongoDB spend on AWS.

Something to note here is that AWS, GCP, and Azure use a credit billing system, where 100 consumption units equal a single Atlas credit (1 credit), which, in turn, equals one dollar ($1).

Your application’s RAM, IOPS, Storage, and other requirements determine the rate at which Consumption Units are used up, and will be charged on top of fees for using GCP, AWS, or Azure services.

Here is the pricing for MongoDB Atlas on AWS by instance type in the US East 1 (North Virginia) region:

Cluster Tier	Storage	RAM	vCPU	Base Price
M10	10–128 GB	2 GB	2 vCPUs	$0.08/hr
M20	20–256 GB	4 GB	2 vCPUs	$0.20/hr
M30	40–512 GB	8 GB	2 vCPUs	$0.54/hr
M40	80 GB–1 TB	16 GB	4 vCPUs	$1.04/hr
M50	160 GB–4 TB	32 GB	8 vCPUs	$2.00/hr
M60	320 GB–4 TB	64 GB	16 vCPUs	$3.95/hr
M80	750 GB–4 TB	128 GB	32 vCPUs	$7.30/hr
M140	1–4 TB	192 GB	48 vCPUs	$10.99/hr
M200	1.5–4 TB	256 GB	64 vCPUs	$14.59/hr
M300	2–4 TB	384 GB	96 vCPUs	$21.85/hr
M400	3–4 TB	488 GB	64 vCPUs	$22.40/hr
M700	4 TB	768 GB	96 vCPUs	$33.26/hr

Alternatively, you can use a variety of low-CPU instance types but comparable RAM and storage capacities, like these:

Other factors that affect pricing for MongoDB on AWS include:

Pricing on Azure follows a similar billing model.

MongoDB on Microsoft Azure

MongoDB on Azure pricing is also pay-as-you-go, billed monthly. The MongoDB Free Tier is also available on Azure for starters. Pricing starts at $0.01 per Consumption Unit.

Precisely how much you’ll spend will depend on your cluster configuration (Azure instance types, size, region, vCPU, and RAM), Availability Zone, and usage. Here are the available MongoDB cluster tiers on Azure to give you an idea:

The starred instances/cluster tiers are available as multi-cloud clusters.

MongoDB on Google Cloud (GCP)

Pricing for MongoDB Atlas on Google Cloud is pay-as-you-go per hour, billed monthly at $0.01 per Consumption Unit. Again, your cluster configuration, availability zone, and usage patterns will directly affect how much you actually spend. You can get started with the MongoDB Atlas Free Tier on GCP.

You get the following MongoDB cluster tiers on GCP:

We get it. Figuring out how MongoDB pricing works can be confusing. There’s an easier way to collect, analyze, understand, and optimize your MongoDB costs.

How To View, Control, And Optimize MongoDB Costs With CloudZero

Many companies use MongoDB internally, such as for data analysis and research. Some use cases are external-facing (and so their costs should reflect in margins and COGS). Others use the platform for both, so they incur several different types of costs.

With shared clusters and massive billing data, it’s tough to tell what’s driving your MongoDB costs, so you can optimize them. CloudZero solves this problem.

With CloudZero, you automatically ingest massive amounts of usage and associated insights from MongoDB. CloudZero normalizes the data, analyzes it, and presents it in a visual, contextual, granular, and actionable way, like this:

to see CloudZero in action!

MongoDB Pricing FAQs

Here are some answers to some frequently asked questions about MongoDB pricing.

Is MongoDB open-source?

MongoDB Community Server is free and open-source to anyone who wants to use it. MongoDB Enterprise Advanced Server is self-service but not open-source. MongoDB Atlas is a fully managed version available through AWS, Azure, and Google Cloud.

Is MongoDB free forever?

With up to 5GB of storage, shared RAM, and shared CPUs for use on M0, M2, and M5 MongoDB cluster tiers, the MongoDB Atlas Free Tier is free forever.

How much does MongoDB cost on AWS?

Shared instances of MongoDB on AWS cost $9 per month while dedicated clusters/instances cost $60 per month.

Costs vary by usage and cluster/instance configuration, and are charged at $0.01 per Consumption Unit ($1). Data backup, data transfer, and data storage speed may also affect your MongoDB costs on AWS.

What happened to MongoDB Serverless and Shared (M2/M5) tiers?

Both were deprecated and replaced by the Atlas Flex Tier, which went generally available in February 2025. Flex combines predictable pricing (capped at $30/month) with dynamic scalability, addressing the main limitations of both the Serverless and Shared models. If your account still shows legacy Serverless or M2/M5 clusters, MongoDB is migrating those to Flex automatically.

Software and pricing information last verified April 2026. Features, pricing, and availability may have changed. Please verify current details with MongoDB before making purchasing decisions.