MongoDB Atlas Pricing, Features & Alternatives
The Fully Managed Multi-Cloud Document Database
MongoDB Atlas Overview
MongoDB Atlas Information Resource Links
What is MongoDB Atlas?
MongoDB Atlas is the fully managed cloud service for MongoDB, the most widely used document database. Launched in 2016 and now the primary revenue driver for MongoDB Inc., Atlas runs on AWS, Azure, and GCP across more than 100 cloud regions. MongoDB itself was created in 2007 by Dwight Merriman, Eliot Horowitz, and Kevin Ryan, and the company is headquartered in New York. The database is open source under the SSPL, which is not an OSI-approved license.
Use Cases
- Document Workloads — Flexible BSON/JSON document model for rapid iteration
- Full-Text Search — Built-in Atlas Search (Lucene-based) on dedicated search nodes
- Vector Search — Native vector embeddings for AI and semantic-search applications
- Multi-Cloud — Deploy a single replica set across AWS, Azure, and GCP
- Stream Processing — Continuous processing of event and change streams
Deployment Options
Atlas offers three cluster types: the free M0 (512 MB storage, shared resources), the Flex tier (capped pay-as-you-go, $8–$30/month, up to 5 GB), and Dedicated clusters from M10 (about $58/month) up through M700-class machines. Dedicated clusters support sharding for horizontal scaling, multi-region replica sets, and auto-scaling.
In February 2025 the Flex tier reached general availability, replacing the legacy M2/M5 shared clusters and the old Serverless instance branding. Existing M2/M5 and Serverless deployments were auto-migrated to Free, Flex, or Dedicated clusters, and those legacy resources reached end-of-life on January 22, 2026.
Pricing Gotchas
Flex is hard-capped at $30/month, so it cannot generate a surprise bill. On dedicated clusters, the picture is different: the cluster’s hourly rate is only the compute. Backups, Atlas Search nodes, Vector Search nodes, Stream Processing, and cross-region or cross-cloud data transfer are all billed separately, so the real monthly bill on production clusters runs higher than the headline tier price.
Multi-Cloud
Atlas is one of the few DBaaS platforms with full multi-cloud support across AWS, Azure, and GCP. You can place replica-set nodes in different clouds and regions for cross-cloud resilience and low-latency global reads, configured per cluster.
MongoDB Atlas Features
Category
Container Deployment
MongoDB Atlas Integrations
MongoDB Atlas Pricing
Plans
Flex
$ 8-30 per month
- Up to 5 GB storage Available
- Shared infrastructure on AWS/Azure/GCP Available
- $8/month base (5 GB + 100 ops/sec + unlimited transfer) Available
- Usage-based above base, hard-capped at $30/month Available
- Includes Atlas Search, Vector Search, Stream Processing Available
- Replaced legacy M2/M5 and Serverless instances (GA Feb 2025) Available
Dedicated (M10+)
$ 58 per month
- From $0.08/hr (~$58/month) for M10 Available
- Dedicated RAM and vCPU, isolated cluster Available
- 10 GB–128 GB storage on M10, scales with tier Available
- Sharding, multi-region and multi-cloud replica sets Available
- Backups, auto-scaling, and SLA available Available
Enterprise
$ Custom per month
- Volume discounts and committed-use pricing Available
- Atlas for Government / dedicated support Available
- Bring Your Own Cloud account billing Available
- Advanced security, BAA for HIPAA, and compliance Available
Resource Pricing
Atlas Search Nodes
from /hr (S20), dedicated search infrastructure
$0.12
Vector Search Nodes
from /hr (S20), dedicated vector infrastructure
$0.12
Stream Processing
from /hr (SP2), up to ~$2.49/hr (SP50)
$0.06
Backup (continuous/snapshot)
snapshot + oplog storage, by region
varies
Instances Pricing
M10
2 GB RAM | 2 vCPU | 10–128 GB storage
58 /month (est)
M20
4 GB RAM | 2 vCPU | 20–256 GB storage
146 /month (est)
M30
8 GB RAM | 2 vCPU | 40–512 GB storage
394 /month (est)
M50
32 GB RAM | 8 vCPU | up to 4 TB storage
1460 /month (est)
M140
192 GB RAM | 48 vCPU | up to 4 TB storage
8023 /month (est)
>M140
Up to M700 (768 GB RAM) and beyond
Custom /month (est)
MongoDB Atlas Regions
29 MongoDB Atlas datacenter locations and IDs per region
Source: https://www.mongodb.com/docs/atlas/reference/amazon-aws/
Location | Region | ID |
|---|---|---|
| N. Virginia (USA) | North America | us-east-1 |
| Ohio (USA) | North America | us-east-2 |
| Oregon (USA) | North America | us-west-2 |
| N. California (USA) | North America | us-west-1 |
| Montreal (Canada) | North America | ca-central-1 |
| Calgary (Canada) | North America | ca-west-1 |
| Querétaro (Mexico) | North America | mx-central-1 |
| São Paulo (Brazil) | South America | sa-east-1 |
| Ireland | Europe | eu-west-1 |
| London (UK) | Europe | eu-west-2 |
| Paris (France) | Europe | eu-west-3 |
| Frankfurt (Germany) | Europe | eu-central-1 |
| Zurich (Switzerland) | Europe | eu-central-2 |
| Stockholm (Sweden) | Europe | eu-north-1 |
| Milan (Italy) | Europe | eu-south-1 |
| Spain | Europe | eu-south-2 |
| Mumbai (India) | Asia Pacific | ap-south-1 |
| Hyderabad (India) | Asia Pacific | ap-south-2 |
| Singapore | Asia Pacific | ap-southeast-1 |
| Sydney (Australia) | Asia Pacific | ap-southeast-2 |
| Jakarta (Indonesia) | Asia Pacific | ap-southeast-3 |
| Tokyo (Japan) | Asia Pacific | ap-northeast-1 |
| Seoul (South Korea) | Asia Pacific | ap-northeast-2 |
| Osaka (Japan) | Asia Pacific | ap-northeast-3 |
| Hong Kong | Asia Pacific | ap-east-1 |
| Bahrain | Middle East & Africa | me-south-1 |
| UAE | Middle East & Africa | me-central-1 |
| Tel Aviv (Israel) | Middle East & Africa | il-central-1 |
| Cape Town (South Africa) | Middle East & Africa | af-south-1 |
*Information is subject to change. Verify with the official MongoDB Atlas website.
