Sold by: MongoDB, Inc
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MongoDB Atlas on AWS enables organizations to build intelligent, AI-powered applications that scale effortlessly. As a fully managed NoSQL database and vector search platform, Atlas unifies operational data and search in a single system, helping teams move from prototype to production with enterprise-grade security, high availability, and seamless AWS integrations.
Try MongoDB Atlas (Mongo as a Service) today with the free trial tier and get 512 MB of storage at no cost.
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Overview
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MongoDB Atlas | Available on AWS Marketplace
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Getting started on MongoDB Atlas
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MongoDB Atlas is a fully managed NoSQL database and vector database purpose-built to accelerate the development of the next generation of scalable, AI-powered applications. By unifying operational data with integrated vector search and semantic search capabilities, Atlas simplifies application architecture, enabling organizations to move from prototype to global production without the complexity of managing fragmented systems. This unified data platform helps teams consolidate their technology stack and derive faster insights from high-performance workloads. With built-in retrieval-augmented generation (RAG) capabilities and support for vector embeddings, Atlas provides the foundation for intelligent, context-aware AI experiences. Designed to meet the demands of global enterprises across industries such as financial services, automotive, and SaaS, Atlas delivers the scalability, performance, and reliability required for mission-critical applications. Organizations can scale seamlessly with horizontal and vertical auto-scaling, maintain low latency with multi-region clusters, and benefit from a 99.995% uptime SLA. Atlas also helps organizations protect sensitive data through native encryption, comprehensive compliance certifications, and industry-leading security controls, ensuring operational environments remain secure and resilient. Organizations can get started immediately with the Atlas free tier, which includes 512 MB of storage at no cost. Dedicated clusters start at just USD $0.08 per hour, providing a cost-effective pay-as-you-go model that scales with application demand. Available through AWS Marketplace, Atlas offers streamlined procurement and consolidated billing, making it easy for organizations to build, deploy, and scale modern applications on AWS.
Highlights
- Intelligent: Power stateful, agentic AI with a unified data and memory layer that combines operational data, vector search, and real-time integrations on MongoDB Atlas on AWS so applications can remember, reason, and act in context across every customer interaction.
- Streamlined: Modernize legacy and self-managed databases to a non relational, fully managed document model on AWS using AI-enabled migration tooling, live migration, cluster-to-cluster sync, and AWS Prescriptive Guidance, reducing risk while accelerating time to value.
- Limitless: Scale globally without limits using elastic clusters, bi-directional auto-scaling, independent operational/analytics/search nodes, and Amazon Bedrock integration on MongoDB Atlas on AWS, delivering low-latency, secure, compliant AI workloads with granular cost-performance control.
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Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
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Dimension | Cost/unit |
|---|---|
MongoDB Atlas Credits used | $1.00 |
Dimensions summary
MongoDB Atlas Credits are a flexible payment mechanism used to pay for services on the MongoDB Atlas cloud platform. One Atlas Credit is equivalent to $1 USD of usage and can be applied toward a wide range of resources, including database clusters, storage, data transfer, backups, and additional Atlas features. There is no upfront charge for Atlas, you simply pay as you consume MongoDB Atlas. This approach enables customers to scale usage based on their needs while maintaining predictable costs, especially when purchased and consumed through the AWS Marketplace.
Top-of-mind questions for buyers like you
How do MongoDB Atlas Credits work for billing purposes?
MongoDB Atlas Credits act as a flexible currency within the Atlas platform, where 1 credit equals $1 USD. With no upfront charges, customers only pay for what they use, credits are automatically deducted based on actual consumption of resources like database instances, storage, and features via AWS Marketplace.
What factors determine my MongoDB Atlas usage costs?
MongoDB Atlas usage costs are determined by factors like cluster tier, cloud provider, storage, IOPS, backup size, data transfer, and add-on features such as Atlas Search. You pay per hour or per operation, with no upfront charges, allowing scalable, flexible billing based on actual resource consumption and usage patterns.
Can I estimate my MongoDB Atlas costs before committing to a purchase?
MongoDB provides a pricing calculator on their website to estimate costs based on your expected workload and configuration needs. Additionally, you can start with a free tier to test the service, and Atlas offers real-time usage monitoring to help track and forecast your credit consumption.
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This is a pay as you go service. You will be invoiced based on your usage.
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By MongoDB, Inc
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In Analytic Platforms, Databases & Analytics Platforms, Databases
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
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AI generated from product descriptions
Vector Search and Semantic Search
Integrated vector search and semantic search capabilities enabling retrieval-augmented generation (RAG) and support for vector embeddings within the database platform
Multi-Region High Availability
Multi-region cluster deployment with 99.995% uptime SLA and low-latency performance across distributed geographic locations
Auto-Scaling Architecture
Horizontal and vertical auto-scaling capabilities with elastic clusters, bi-directional auto-scaling, and independent operational, analytics, and search nodes for dynamic workload management
Enterprise Security and Compliance
Native encryption, comprehensive compliance certifications, and industry-leading security controls for data protection and regulatory adherence
NoSQL Document Database
Fully managed NoSQL database with document model supporting operational data consolidation and seamless integration with AWS services including Amazon Bedrock
Multi-Model Data Support
Supports key-value, JSON documents, SQL queries, vectors, and full-text search capabilities within a single database platform
Real-Time Analytics Engine
Provides zero ETL JSON-native analytics architecture for real-time data processing
Geo-Aware Clustering
Enables data reliability and distribution across geographically distributed clusters
Advanced Security Controls
Implements role-based access control (RBAC) with encryption for data in transit and at rest
Mobile Data Synchronization
Offers fully managed data sync to edge devices with offline support and peer-to-peer synchronization for mobile and IoT applications
Distributed SQL Database Architecture
Fully managed, distributed SQL database with lock-free cloud-native architecture designed for transactional (OLTP) and analytical (OLAP) workloads
High-Throughput Data Ingestion
Parallel, distributed lock-free ingestion capable of processing millions of events per second using Pipelines
Vector Search Capabilities
Indexed vector search with full-text search capabilities for generative AI applications with elastic scale-out architecture
Real-Time Query Processing
Low-latency SQL query execution on billions of rows of data with support for tens or hundreds of thousands of concurrent users
Unified Workload Engine
Single engine supporting transactional (OLTP), analytical (OLAP), and vector (GenAI) workloads without requiring data movement between systems
Validated by AWS Marketplace
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Customer reviews
Nikhil Thapa
Cloud database has transformed client demos and supports flexible unstructured data workflows
Reviewed on Apr 05, 2026
Review provided by PeerSpot
What is our primary use case?
MongoDB Atlas serves as our primary database for storing data. We utilize MongoDB Atlas as our main database solution, which provides us with free space to work with and some MB of free storage. When working with Express.js code as our backend, storing data in JSON format is not required, unlike the problem encountered with SQL. Once we require unstructured data, that is what we use MongoDB Atlas for, and it also frees up some of the memory and storage, so it works very well for our use cases. MongoDB Atlas has free storage that allows us to work with the tools and understand them better. I have highlighted several aspects of this solution.
How has it helped my organization?
MongoDB Atlas impacts our organization positively as it is our primary source of working, and we work on multiple client projects to demonstrate at least a demo to them. MongoDB Atlas works very well in our organization. When discussing one of the projects on MongoDB Atlas, the UI is very aesthetically pleasing; we do not have to go and deploy some RDS or other solutions. The cluster is already there; we just have to log in and start working on it. Additionally, there is a simple connection string that allows us to manage security as well. MongoDB Atlas UI facilitates managing security, and there is IP address tracking available, which we can specify. It is separate from others, and I would say the scalability is also very good—the ability to scale the database directly is excellent and does not require server adjustments.
During my development phase, this is very good and easy to understand, which is beneficial if anyone new comes on board.
What is most valuable?
The best feature I would say is that there is free storage, which any NoSQL database provides, such as MongoDB Atlas. Apart from that, there is a very good MongoDB Atlas UI where we can see the cluster, databases, and all these features. When we are using it, the transactions go for real-time processing. These are the features that it offers us, and the connection is very good to any framework we are using in the backend.
MongoDB Atlas is our primary database, and we prefer this because of the reliability of MongoDB Atlas. The UI is very good for Atlas, and the non-structured database is advantageous because we do not have required schema restrictions. The cluster management and the database handling of Atlas are very good. By using the UI, we can manage this efficiently, and these are the features on MongoDB Atlas that give us what we need.
What needs improvement?
I do not find any necessary improvements for MongoDB Atlas; it is already good at handling tasks, and we have a local compass as well. There is no disturbance with MongoDB Atlas; it operates well. The UI is good, although I have checked one aspect in MongoDB Atlas: when we make transactions, they do not process in real-time and require a refresh. I attribute this delay to a minor browser issue, but overall, the compass is already integrated, so I do not see any improvements needed.
For how long have I used the solution?
I have been working here for more than three years.
What do I think about the stability of the solution?
MongoDB Atlas is stable.
What do I think about the scalability of the solution?
MongoDB Atlas scalability is very good.
How are customer service and support?
I have not reached out to customer support, as I have not encountered any problems, so I have not needed to contact them.
Which solution did I use previously and why did I switch?
I have previously used multiple SQL databases, and I encountered problems in the deployment phase, which often required purchasing services such as RDS or others to deploy SQL databases, leading to additional costs. MongoDB Atlas defines a GUI aspect and database storage advantage.
How was the initial setup?
My experience with pricing, setup cost, and licensing is that the pricing is very good, and the setup is very good as well. Licensing for the basic version is free, which is a benefit, although the pricing increases significantly when we use many features. We can also mitigate costs a little by sharing and scaling; these aspects are good in MongoDB Atlas.
Which other solutions did I evaluate?
I evaluated other options before choosing MongoDB Atlas, primarily focusing on SQL databases, and I encountered deployment problems with them, particularly regarding the necessity to purchase services for RDS. MongoDB Atlas resolved these issues.
What other advice do I have?
I would advise others looking into using MongoDB Atlas to note that it is very cost-efficient, and I suggest trying it ourselves. Whitelisting APIs and IPs is a straightforward process, and these are features of MongoDB Atlas worth exploring. MongoDB Atlas is deployed as its own cloud solution, and there is no SS deployment; it is already clustered within MongoDB Atlas. In our organization, I would say it operates in a private cloud setup. I give this product a review rating of ten out of ten.
Lintz Veloso
Developers have benefited from flexibility and performance but pricing has needed further attention
Reviewed on Nov 04, 2025
Review provided by PeerSpot
What is our primary use case?
I still have recent experience with MongoDB Atlas as I have a contact with a representative for Brazil.
Azure and OCI are what we use as our main cloud providers.
I have hands-on experience with OCI , although I don't have a cloud for MongoDB Atlas ; I have a cloud for databases and DevOps.
I don't develop directly with only MongoDB Atlas. However, I know the organization has a license with the product.
What is most valuable?
It's a very elastic solution for the purposes of our systems and the developers appreciate it for software development.
MongoDB Atlas's encryption capabilities help ensure data confidentiality and integrity.
I believe the software has performed well for us regarding data confidentiality and integrity.
What needs improvement?
I would say pricing is an area where MongoDB Atlas could improve.
For how long have I used the solution?
I don't have extensive experience with Linux products since it's not my area in my organization.
What do I think about the stability of the solution?
I believe the support is very good because I don't have a problem with the availability of the software.
What do I think about the scalability of the solution?
I am aware of the horizontal scaling capability.
How are customer service and support?
I would be willing to provide a review for one of the Oracle solutions or other solutions such as Linux as we have a Linux server, X8H56. OCI is the server name I remember, it's OCP.
Which solution did I use previously and why did I switch?
How was the initial setup?
I have tried to use Coherence , but it was a bad experience for us.
I didn't purchase MongoDB Atlas through AWS Marketplace ; I only have a MongoDB Atlas license, not AWS .
What about the implementation team?
I have no idea about the pricing or setup cost with MongoDB Atlas.
What was our ROI?
I find it easy to use.
I think it's a good product.
What's my experience with pricing, setup cost, and licensing?
I have no idea about the pricing or setup cost with MongoDB Atlas.
Which other solutions did I evaluate?
We have MongoDB Atlas; MongoDB Atlas is what we use.
What other advice do I have?
I am only familiar with databases and applications. I am from the development team and I am a user of database and cloud but I don't know the infrastructure.
As a user, I deal with the Oracle Database .
I know the organization has a license with the product.
We don't utilize real-time analytics with MongoDB Atlas.
I don't use MongoDB Atlas directly, so I don't know how it can be improved.
I would place MongoDB Atlas at a medium level. I would rate it at a six or seven. I believe MongoDB Atlas can improve a little. My overall review rating for this product is six out of ten.
Dhiraj Verma
Ensures efficient team collaboration with quick deployment and easy integration
Reviewed on May 19, 2025
Review from a verified AWS customer
What is our primary use case?
We are using MongoDB Atlas for our log storage, transactional log storage, and we are into CPaaS business, communication platform as a service.
We are also using PostgresSQL in some of the applications, alongside MongoDB Atlas .
What is most valuable?
The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities.
The security features of MongoDB Atlas support our organization very well.
My company has seen financial benefits from using MongoDB Atlas because we are using open source.
What needs improvement?
There is nothing about MongoDB Atlas I would like to improve or any weak points at this time.
I have not thought through what other features I would like to see included in future updates.
MongoDB Atlas should support containerization.
For how long have I used the solution?
I have been using this product for the past 5 years.
What was my experience with deployment of the solution?
I find the installation process easy to deploy as it wasn't difficult to implement.
What do I think about the stability of the solution?
The stability of the product is very high, and I would rate it a nine out of ten for stability.
What do I think about the scalability of the solution?
It's very much scalable, and I would rate scalability a nine.
How are customer service and support?
For premium support, I would rate the support of MongoDB Atlas a nine.
Premium support requires additional payment; otherwise, you can manage whatever you can yourself.
Though I am currently not using support, I would rate it a nine.
How would you rate customer service and support?
Positive
How was the initial setup?
I personally took part in the installation process.
I can deploy MongoDB Atlas in 2-3 hours.
What about the implementation team?
When we make changes, responsibilities are always distributed. It will be a team whenever a production deployment comes.
What was our ROI?
My company has seen financial benefits from using MongoDB Atlas through savings because we are using open source.
Which other solutions did I evaluate?
Postgres is another option that is available for us. I have considered alternatives for MongoDB Atlas.
What other advice do I have?
The database team consists of five to six people.
We are not currently using the AI functionality in MongoDB Atlas, though AI-driven projects are available in their vector search.
Based on my experience, I would recommend MongoDB Atlas to other users looking for NoSQL databases.
We do everything on our own and are not using third-party services for maintenance.
I am involved in the maintenance process.
We are using MongoDB Atlas for commercial purposes.
The number of people currently using this product in my organization is related to my platform hosted on MongoDB Atlas.
I think it's a competitive solution compared to others, though I cannot comment on pricing as I haven't seen pricing for other products.
I rate MongoDB Atlas a nine out of ten.
Which deployment model are you using for this solution?
On-premises
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Laksiri Bala
Room for improvement in data handling leads to enhanced cost-effective data management performance
Reviewed on Mar 26, 2025
Review provided by PeerSpot
What is our primary use case?
I primarily use Oracle databases, but I work with many other databases such as MongoDB Atlas and several cloud databases. I utilize MongoDB Atlas predominantly for training-level projects in resource grooming and for sub-projects at my office. It is used alongside Oracle and Postgres in these training layers.
What is most valuable?
MongoDB Atlas offers replication, which is cheaper than Oracle RAC, making it appealing to certain industries. It is particularly useful for unstructured and semi-structured data because of its performance in these areas. Sharding and partitioning are supported, though they don't reach the same level as Oracle's capabilities. This cost-effective solution assists organizations in data storage and management.
What needs improvement?
It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.
What do I think about the stability of the solution?
MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines. This is a continuous challenge I face when utilizing MongoDB Atlas.
What do I think about the scalability of the solution?
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle. Partitioning is also available; however, it lacks a multi-tenancy architecture, which affects its scalability in comparison.
How are customer service and support?
Technical support from MongoDB Atlas, which is open source, is satisfactory in most cases. However, when compared to top databases like EDB, Postgres, and Oracle, the features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
What's my experience with pricing, setup cost, and licensing?
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
What other advice do I have?
The overall rating for MongoDB Atlas is around 5.5. To improve, MongoDB should enhance support for demanding graph databases, vector databases, and spatial handling. Additionally, improvements in AI capabilities, particularly vector processing, are imperative. These developments could provide MongoDB Atlas with a competitive edge.
Mon
Amazing DB
Reviewed on Feb 05, 2025
Review from a verified AWS customer
I recently had the opportunity to work with MongoDB Atlas on AWS, and I must say, the experience has been nothing short of impressive. Bringing together the power of MongoDB's flexible, scalable NoSQL database with the robust infrastructure and services of AWS creates a seamless, high-performance environment for managing data-intensive applications.
Performance optimization is another key advantage. With features like auto-scaling, performance monitoring, and workload isolation, MongoDB Atlas on AWS eliminates much of the operational overhead, allowing developers to focus on building applications rather than managing infrastructure. Additionally, the automated backups and failover mechanisms provide peace of mind, ensuring that critical data is always protected.