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Cluster Tier

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  • Shared Clusters
  • Dedicated Clusters for Low-Traffic Applications
  • Dedicated Clusters for High-Traffic Applications
  • Free, Shared, and Dedicated Cluster Comparison

The cluster tier dictates the memory, storage, and IOPS specification for each data-bearing server [1] in the cluster.

Image showing the cluster tier selection.
Note

You might see different values depending on your selected cloud provider and region.

Shared clusters are economical clusters for getting started with MongoDB and for low-throughput applications. These clusters deploy to a shared environment with access to a subset of Atlas features and functionality. For complete documentation on shared cluster limits and restrictions, see Atlas M0 (Free Cluster), M2, and M5 Limitations.

M0 clusters are free sandbox replica set clusters. You can deploy one M0 cluster per Atlas project. You can upgrade an M0 free cluster to an M2+ shared cluster at any time.

M2 and M5 clusters are low-cost shared clusters. These clusters provide the following additional features and functionality compared to M0 clusters:

  • Atlas deploys MongoDB 4.4 for all Shared Clusters (M0, M2, and M5). However, Shared Clusters do not support all functionality in MongoDB version 4.4 and later. See Atlas M0 (Free Cluster), M2, and M5 Limitations for details.
  • Atlas supports shared cluster deployment in a subset of Cloud Providers and Regions. Atlas greys out any shared cluster tiers not supported by the selected cloud service provider and region. For a complete list of regions that support shared cluster deployments, see:


M10 and M20 cluster tiers support development environments and low-traffic applications.

These clusters support replica set deployments only, but otherwise provide full access to Atlas features and functionality.

Note

M10 and M20 cluster tiers on AWS and Azure run on burstable performance infrastructure.

M30 and higher cluster tiers support production environments with high traffic applications and large datasets.

These clusters support replica set and sharded cluster deployments with full access to Atlas features and functionality.

Some clusters have variants, denoted by the character. When you select these clusters, Atlas lists the variants and tags each cluster to distinguish their key characteristics.

For applications hosted on AWS which require low-latency and high-throughput I/O, Atlas offers storage options using locally attached ephemeral NVMe SSDs. The following cluster tiers have an NVMe option, with the size fixed at the cluster tier:

  • M40
  • M50
  • M60
  • M80
  • M200
  • M400

Clusters with NVMe storage use Cloud Backups for backup. You can't disable backup on NVMe clusters. If you want to use hourly backups, Atlas limits backups on NVMe clusters to once every 12 hours.

NVMe clusters use a hidden secondary node consisting of a provisioned volume with high throughput and IOPS to facilitate backup.

You can't pause an NVMe cluster.

Note

NVMe clusters auto-scale to the next higher tier when 90% of the available storage space is consumed, and the migration requires an initial sync.

The following table highlights key differences between an M0 Free Tier cluster, an M2 or M5 shared cluster, and an M10+ dedicated cluster.

Free Cluster (M0)
Shared Cluster (M2 and M5)
Dedicated Cluster (M10 and larger)
Storage (Data Size + Index Size)
512 MB
M2: 2 GB
M5: 5 GB
10 - 4000 GB
MongoDB Version Support
4.4
4.4
4.0, 4.2, 4.4
Metrics and Alerts
Limited
Limited
VPC Peering
No
No
Global Region Selection
Atlas supports deploying M0 clusters in a subset of regions in AWS, GCP, and Azure.
Atlas supports deploying M2 and M5 clusters in a subset of regions in AWS, GCP, and Azure.
Atlas supports deploying clusters globally on Amazon Web Services, Google Cloud Platform, and Microsoft Azure
Cross-Region Deployments
No
No
Yes. Specify additional regions for high availability or local reads when creating or scaling a cluster.
Backups
No
Yes, including queryable backups
Sharding
No
No
Yes, for clusters using an M30+ tier
Dedicated Cluster
No, M0 free clusters run in a shared environment
No, M2 and M5 clusters run in a shared environment
Yes, M10+ clusters deploy each mongod process to its own instance.
Performance Advisor
No
No
Yes
BI Connector for Atlas
No
No
Yes

For a complete list of M0 free cluster, M2, and M5 limitations, see Atlas M0 (Free Cluster), M2, and M5 Limitations.

Tip
See also:
[1] For replica sets, the data-bearing servers are the servers hosting the replica set nodes. For sharded clusters, the data-bearing servers are the servers hosting the shards. For sharded clusters, Atlas also deploys servers for the config servers; these are charged at a rate separate from the cluster costs.
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On this page

  • Shared Clusters
  • Dedicated Clusters for Low-Traffic Applications
  • Dedicated Clusters for High-Traffic Applications
  • Free, Shared, and Dedicated Cluster Comparison