MongoDB Atlas can deploy multiple tiers of cloud databases:
Dedicated clusters for high-throughput production applications.
Flex clusters for development purposes and small-scale applications.
You create new cloud databases through the Atlas UI, Atlas Administration API, or Atlas CLI.
You can also create a local Atlas deployment with the Atlas CLI.
Create a Dedicated cluster if you want to:
Choose a specific database configuration based on your workload requirements.
Define database scaling behavior.
Run high-throughput production workloads.
Always have capacity available.
You can:
Set the cluster tier.
Use advanced capabilities such as sharding.
Distribute your data to multiple regions and cloud providers.
Scale your cluster on-demand.
Enable autoscaling.
MongoDB bills clusters based on the deployment configuration and cluster tier.
Flex clusters are low-cost cluster types suitable for teams that are learning MongoDB or developing small proof-of-concept applications. You can begin your project with an Atlas Flex cluster and upgrade to a production-ready Dedicated cluster tier at a future time.
ImportantAs of February 2025, you can create Flex clusters, and can no longer create M2 and M5 clusters or Serverless instances in the Atlas UI, Atlas CLI, Atlas Administration API, Atlas Kubernetes Operator, HashiCorp Terraform, or Atlas CloudFormation Resources. You can still use existing Serverless instances.
Atlas no longer supports M2 and M5 clusters. Atlas deprecated Serverless instances. As of May 25, 2025, Atlas has automatically migrated all existing M2 and M5 clusters to Flex clusters.
For Serverless instances, beginning May 5 2025, Atlas will determine whether to migrate instances to Free clusters, Flex clusters, or Dedicated clusters according to your usage. To see which tiers Atlas will migrate your instances to, consult the All Clusters page in the Atlas UI.
Create a Flex cluster if you want to:
Get started quickly with minimal database configuration and low costs.
Have your database scale automatically and dynamically to meet your workload.
Run infrequent or sparse workloads.
Develop or test in a cloud environment.
Create a global cluster if you want to support location-aware read and write operations. Location-aware read and write operations are ideal for globally-distributed application instances and clients.
Global Clusters are a highly-curated implementation of a sharded cluster that offer:
Low-latency read and write operations for globally distributed clients.
Uptime protection during partial or full regional outages.
Location-aware data storage in specific geographic regions.
Workload isolation based on cluster member types.
You can enable Global Writes in Atlas when deploying an M30 or greater sharded cluster. For replica sets, scale the cluster to at least an M30 tier and enable Global Writes. All shard nodes deploy with the selected cluster.
You can't disable Global Writes for a cluster once it is deployed.
When Global Writes are enabled, Global Clusters do not support dedicated search nodes.
Create a local deployment to try Atlas features on a single-node replica set hosted on your local computer.
The following table indicates whether Dedicated clusters or Flex clusters support the listed configuration or capability in MongoDB Atlas.
NoteMongoDB plans to add support for more configurations and capabilities on Atlas Flex over time. To see the current Atlas Flex limitations and learn about planned support, see Atlas Flex Limitations.
For the latest product updates, see the Atlas Changelog.
Once you select a cluster type, you can Create a cluster.
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