How much does MongoDB Atlas cost per GB?

MongoDB Atlas storage is bundled into the cluster hourly rate rather than priced per GB. The dedicated M10 tier includes 10 GB of storage with the $0.08/hr hourly rate ($56.94/mo, base M10 cluster AWS US East). M30 includes 40 GB at $0.54/hr ($387.62/mo). M50 includes 160 GB at $2/hr ($1,436.64/mo). M80 includes 750 GB at $7.30/hr ($5,258.19/mo). All pricing is per cluster node — a 3-node replica set for production multiplies the cost by 3x before backup, data transfer, and support are added (MongoDB official pricing, October 2025; go-cloud, August 2026).

What is the cheapest MongoDB Atlas cluster?

The cheapest dedicated MongoDB Atlas cluster is M10 at $0.08/hr ($56.94/mo) on AWS US East, which includes 10 GB of storage, 2 GB of RAM, and 2 shared vCPUs. A production deployment requires a 3-node replica set, raising the effective monthly cost to approximately $170. The truly free option is the M0 tier at 512 MB, suitable only for learning and prototyping (MongoDB official, go-cloud, 2026).

What is Atlas Flex and how does pricing compare to Dedicated?

Atlas Flex is the budget-friendly tier between Free and Dedicated, scaling by operations per second with a maximum monthly cost of $30. It is ideal for unpredictable workloads and small applications but is intended for non-production or low-throughput environments. Dedicated clusters (M10 to M700) are where production workloads live with dedicated vCPUs and RAM, full Atlas feature set including auto-scaling, VPC peering, customer-managed encryption keys, and sharded clusters (MongoDB official, go-cloud, 2026).

How much does a production MongoDB Atlas deployment cost?

A production deployment requires a 3-node replica set for automatic failover. Realistic costs for production deployments: M30 (8GB RAM, 2 vCPUs) three-node replica set approximately $1,180/mo; M40 (16GB RAM, 4 vCPUs) approximately $2,250/mo; M50 (32GB RAM, 8 vCPUs) approximately $4,310/mo. Add backup at roughly 15% of cluster cost ($175/mo for M30), data transfer same-region ($80-150/mo), and standard support plan (several hundred dollars monthly) for a realistic total of $1,700-2,200/mo for an M30 production deployment (go-cloud, August 2026).

What is the difference between M10, M20, and M30 cluster tiers?

MongoDB recommends M10 or M20 for pre-production and low-criticality workloads. These tiers use shared vCPUs under the hood despite being labeled dedicated. True dedicated vCPU isolation begins at M30, which is the realistic starting point for customer-facing production services. M10 includes 10 GB storage, 2 GB RAM, 2 vCPUs at $0.08/hr. M20 includes 20 GB storage, 4 GB RAM, 2 vCPUs at $0.20/hr. M30 includes 40 GB storage, 8 GB RAM, 2 vCPUs at $0.54/hr (go-cloud, August 2026).

Does MongoDB Atlas charge for egress?

MongoDB Atlas data transfer costs depend on cloud provider and region. Same-region data transfer within Atlas clusters is generally included. Cross-region replication, snapshot transfers, and external Atlas-to-application traffic may incur charges based on the cloud provider's data transfer pricing (AWS, GCP, or Azure). For typical production deployments, data transfer adds $80-150/mo on top of cluster costs, but for data-heavy applications or multi-region deployments, transfer costs can exceed cluster costs (MongoDB official documentation, October 2025).

How does Atlas Gen2 pricing compare to Gen1?

AWS Gen2 Dedicated clusters (M30 and above) launched in 2025 with improved performance over Gen1 through support for Extended Standard IOPS. Gen2 charges separately for Extended Standard IOPS beyond the baseline minimum IOPS, giving more flexibility but more complexity. Gen1 clusters are still available but are increasingly being deprecated for new deployments. For new production deployments on AWS, Gen2 is the recommended path (MongoDB official documentation, 2025).

What is the Atlas Flex Promo and when does it end?

Atlas Flex uses a Flex Promo billing unit during the transition period. The new billing structure takes effect in June 2026 per Redis pricing calculator guidance (MongoDB official pricing). Existing deployments continue to work, and the updated pricing is reflected in the console. New customers see Flex up to $30/mo maximum charge (MongoDB official, 2026).

MongoDB Atlas Pricing 2026: Cost Per GB

Quick Answer

MongoDB Atlas pricing in 2026 starts with the Free M0 tier at 512 MB and scales through Flex (up to $30/mo) to Dedicated clusters from M10 at $0.08/hr ($56.94/mo) up to M700 at $33.26/hr ($24,280/mo). Production deployments require a 3-node replica set, multiplying the per-cluster cost by 3x before backup, data transfer, and support are added. A realistic M30 production deployment costs approximately $1,700-2,200/mo including backup and data transfer (MongoDB official, October 2025; go-cloud, August 2026).

Last verified: Sep 16, 2026.

At a glance

Free M0: 512 MB forever
Flex: up to $30/mo max
Dedicated M10: $56.94/mo (10 GB, 2 GB RAM, 2 vCPUs)
Dedicated M30: $387.62/mo (40 GB, 8 GB RAM)
Dedicated M50: $1,436.64/mo (160 GB, 32 GB RAM)
Dedicated M80: $5,258.19/mo (750 GB, 128 GB RAM)
Dedicated M200: $10,507.62/mo (1.5 TB, 256 GB RAM)
Dedicated M700: $24,280/mo (4 TB, 768 GB RAM)
Production 3x multiplier: M30 prod ~$1,180/mo cluster

The four MongoDB Atlas deployment models

MongoDB Atlas is organized into four deployment models, each stepping up in isolation and feature access. The Free M0 tier at 512 MB is for learning and exploring with limited resources. Flex is the budget-friendly tier ideal for development and testing, offering the lowest cost option with certain feature limitations and a maximum $30/mo charge. Dedicated M10 and M20 are shared-vCPU tiers suitable for pre-production and small, non-critical workloads, supporting replica set deployments with full Atlas access. Dedicated M30 and above are the recommended starting point for customer-facing production services, providing true dedicated vCPUs and RAM, supporting both replica sets and sharded clusters (MongoDB official, October 2025).

The distinction between shared-vCPU and dedicated-vCPU tiers is critical for production planning. Despite the marketing language of Dedicated, M10 and M20 share vCPUs across tenants. True isolation begins at M30. Production deployments benefit from M30 or higher, with auto-scaling, VPC peering, customer-managed encryption keys, and fine-grained access controls unlocked at this tier (go-cloud, August 2026).

Production cost: the 3x replica set reality

Production MongoDB Atlas deployments require a 3-node replica set for automatic failover. The single-node pricing shown in the cluster tier tables is not what production costs. A production M30 deployment runs approximately $1,180/mo (3 x $387.62/mo for the cluster), plus backup ($175/mo), data transfer ($80-150/mo), and standard support plan (several hundred dollars monthly), totaling $1,700-2,200/mo realistic all-in (go-cloud, August 2026).

Sharded clusters multiply this further across each shard's replica set. A high-availability MongoDB deployment at scale (50-100GB) running on M50 with backups and standard support typically costs $5,000-6,500/mo. Large enterprises running M200+ deployments with Atlas Search, Online Archive, and multi-region deployments routinely exceed $50,000/mo (go-cloud, August 2026).

Side-by-side: Atlas tier comparison

Tier	vCPUs	RAM	Storage	Hourly	Monthly (single node)
M0 Free	Shared	Shared	512 MB	$0	$0
M2	Shared	Shared	2 GB	$0.012	$8.99
M5	Shared	Shared	5 GB	$0.035	$25.00
M10	2 shared	2 GB	10 GB	$0.08	$56.94
M20	2 shared	4 GB	20 GB	$0.20	$146.72
M30	2 dedicated	8 GB	40 GB	$0.54	$387.62
M40	4 dedicated	16 GB	80 GB	$1.04	$746.79
M50	8 dedicated	32 GB	160 GB	$2.00	$1,436.64
M60	16 dedicated	64 GB	320 GB	$3.95	$2,847.00
M80	32 dedicated	128 GB	750 GB	$7.30	$5,258.19
M200	64 dedicated	256 GB	1.5 TB	$14.59	$10,507.62
M700	96 dedicated	768 GB	4 TB	$33.26	$24,280

Atlas storage pricing model

Atlas storage is bundled into the cluster hourly rate rather than priced per GB. Each cluster tier includes a default storage allocation (M10 = 10 GB, M30 = 40 GB, M50 = 160 GB, M80 = 750 GB). Cluster auto-scaling adjusts compute and storage together based on workload demands. For AWS Gen2 Dedicated clusters, Extended Standard IOPS can be provisioned beyond the baseline minimum IOPS for additional cost. Backup storage is billed separately based on volume retained, typically approximately 15% of cluster cost (MongoDB official documentation, 2025).

For workloads that need storage beyond the included allocation, Atlas charges for the additional storage capacity while subtracting the cost of default storage. If you customize storage capacity, Atlas charges the full amount of storage without deducting default storage cost. Storage-cost customization is a meaningful lever for cost optimization on Atlas (MongoDB documentation, 2025).

Hidden costs in Atlas deployments

Beyond the cluster hourly rate, four cost lines determine Atlas total cost of ownership. First, backup storage: backup charges run approximately 15% of cluster cost for typical 7-day retention; longer retention windows scale up proportionally. Second, data transfer: same-region cluster traffic is included, but cross-region replication and external egress can run $80-150/mo for typical production deployments (and much more for data-heavy or multi-region deployments). Third, support: standard support is bundled in some configurations but premium support with 24/7 SLAs is a separate paid tier. Fourth, Atlas Search nodes and Online Archive are separate billing dimensions for applications that use search or archival features (MongoDB official pricing, 2026).

For new deployments, the Atlas Pricing Calculator provides accurate cost modeling based on cluster tier, region, utilization patterns, and add-on services. Building production cost estimates based on hourly rates alone underestimates by 30-50% for typical deployments.

How Atlas compares to other managed databases

MongoDB Atlas is positioned for document-oriented workloads with flexible schema and rich indexing. Compared to Supabase ($25/mo Pro tier, PostgreSQL), Atlas scales to much higher workloads and provides true managed sharding for large-scale document stores. Compared to DynamoDB (per-request pricing, $1.25/M write units, $0.25/GB storage), Atlas offers more predictable costs at scale with full query language support. Compared to self-hosted MongoDB, Atlas eliminates operational overhead but adds managed service fees of typically 30-50% over infrastructure costs alone (go-cloud, August 2026).

For teams already using MongoDB, Atlas is the obvious managed option. For greenfield document workloads, Atlas competes with DocumentDB (AWS-native), Cosmos DB (Azure-native), and self-hosted MongoDB. The decision typically comes down to existing cloud provider commitment, team expertise, and scale requirements. MongoDB Atlas is the most feature-complete managed document database service in 2026 (go-cloud, August 2026).

What enterprise buyers should do next

Three actions for organizations evaluating MongoDB Atlas in 2026.

Model the 3x replica set. Production deployments require 3-node replica sets. The single-node cluster pricing shown in tier tables is not the realistic production total. Always model 3x cluster cost before procurement.
Audit backup and data transfer. These hidden costs typically add 15-25% to cluster cost. For data-heavy applications, transfer costs can exceed cluster costs.
Pick the right starting tier for production. M10 and M20 are shared-vCPU despite the Dedicated label. M30 is the realistic starting point for customer-facing production services, providing true dedicated vCPUs and full feature set.

What to watch next

Three near-term datapoints. First, Atlas Flex Promo billing unit transition (June 2026 deadline) — existing deployments will see pricing reflected in the console at that time. Second, Atlas Gen2 cluster tier expansion — M30+ dedicated tiers continue to receive IOPS and storage enhancements through 2026. Third, Atlas Vector Search availability — vector search nodes are increasingly important for AI workloads, and Atlas has been adding dedicated vector search node types through 2025 and 2026 (MongoDB official, 2026).

#mongodb atlas pricing 2026 #mongodb pricing tiers #atlas m30 m50 #mongodb dedicated cluster #atlas flex

Written by

Fazlur RahmanAI, Entrepreneurship, EdTech

Fazlur Rahman is the founder of Tutorsbot, building AI-powered tools for learning and career growth. He writes about applying AI in real products and the practi… Read more

Fazlur Rahman is the founder of Tutorsbot, building AI-powered tools for learning and career growth. He writes about applying AI in real products and the practical side of building an ed-tech startup.