Sold by: MongoDB, Inc
Deployed on AWS
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Build sophisticated, enterprise-ready, intelligent applications with MongoDB Atlas and AWS. Combine the robust infrastructure of AWS with MongoDB Atlas; a developer data platform to ensure flexibility, scalability, and security. Simplify your data management, drive innovation at scale, and deliver exceptional user experiences.
4.2
Overview
MongoDB developer data platform is available in 31+ AWS regions. It integrates all of the data services you need to build modern applications that are highly available, performant at a global scale, and compliant with the most demanding security and privacy standards within a unified developer experience. It handles transactional workloads, app-driven analytics, full-text search, AI-enhanced experiences, stream data processing, and more, all while reducing data infrastructure sprawl and complexity. When you use MongoDB Atlas on AWS, you can focus on driving innovation and business value, instead of managing infrastructure.
Try Atlas (Mongo as a Service) today with the free trial tier and get 512 MB of storage at no cost. Dedicated clusters start at just USD 0.08 per hour, and you can easily scale up or out to meet your application's demands. Costs vary based on your specific cluster configurations, network usage, backup policies, and use of additional features. Get started today and see how MongoDB Atlas can help you build and scale your modern applications easily.
MongoDB Atlas Enterprise is available at US$ 1.00 per Atlas credit. Costs vary according to cluster configurations, network usage, backup policies, and use of additional features. Please note additional charge applies for Atlas Enterprise subscription. It is charged at the monthly minimum of $1,500 or 70% of Atlas Credits consumed, whichever is higher.
Highlights
- MongoDB Atlas is secure by default. It leverages built-in security features across your entire deployment. With compliance with regulations such as HIPAA, GDPR, ISO 27001, PCI DSS, and more, your data is protected with robust security measures.
- Native vector search capabilities embedded in an operational database simplifies building sophisticated RAG implementations - For retrieval-augmented generation (RAG) - a pattern that works with Large Language Models (LLM) augmented with your own data to generate more accurate responses - MongoDB allows you to store, index, and query vector embeddings of your data without the need for a separate bolt-on vector database.
- Revolutionize your mobile app development process with Atlas Device Sync. This fully managed, device-to-cloud synchronization solution empowers your team to build better mobile apps faster and easier.
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Dimension | Cost/12 months | Overage cost |
|---|---|---|
MongoDB Atlas Enterprise | $0.00 |
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By MongoDB, Inc
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In Data Analysis, Databases & Analytics Platforms, Databases
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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
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AI generated from product descriptions
Multi-Region Deployment
Available across 31+ AWS regions for global application deployment and high availability
Native Vector Search
Embedded vector search capabilities for storing, indexing, and querying vector embeddings without requiring a separate vector database
Device Synchronization
Fully managed device-to-cloud synchronization solution for mobile application data consistency
Compliance and Security Standards
Built-in security features with compliance certifications including HIPAA, GDPR, ISO 27001, and PCI DSS
Multi-Workload Support
Handles transactional workloads, app-driven analytics, full-text search, stream data processing, and AI-enhanced experiences within a unified platform
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 with extremely high throughput and low latency architecture
Geo-Aware Clustering
Enables data reliability and distribution across geo-aware clusters for enterprise-grade availability
Advanced Security Controls
Implements advanced role-based access control (RBAC) with encryption for data in flight and at rest
Mobile Data Synchronization
Supports fully managed data sync to edge devices with offline functionality and peer-to-peer synchronization capabilities
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
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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Customer reviews
Pranay Jain
Cloud database has supported charity platform growth and has improved team delivery speed
Reviewed on Jan 30, 2026
Review from a verified AWS customer
What is our primary use case?
MongoDB Atlas is a completely cloud-based database that can be used in real-life applications. I have mostly used it with the MEAN stack, with Angular as a front-end and Node with MongoDB as my primary database in the back-end.
I built a charity-based platform called Danam for orphanages. This platform is currently used by more than 10 orphanages to gain charity from different people, and I implemented MongoDB Atlas there.
What is most valuable?
Setting up MongoDB Atlas is very easy, as I simply select the cluster and the size I want. There are free clusters available for testing real applications, and it is a NoSQL-based database that works well for both web and mobile applications, providing real-time analytics-driven solutions where flexible schema is the main priority.
The best feature MongoDB Atlas offers is the flexible database schema that I can easily set up. It is easy to set up, has no server setup cost, requires no manual setting, and has no downtime. The platform automatically handles traffic spikes and includes built-in features such as storage, auto-scaling, automatic backup, and point-in-time recovery.
Auto-scaling and backups have been instrumental in my project using MongoDB Atlas, especially when I moved from UAT to production. My customer base of more than 10 lakhs increased, and the system automatically scaled to handle those requests, ensuring the database could respond in time.
MongoDB Atlas has an aggregation framework that handles complex analytics without requiring any extra tools. It also provides real-time updates and streaming capabilities.
MongoDB Atlas has positively impacted my organization by reducing operational costs, as I do not need database administrators or server maintenance. It follows a pay-as-you-go strategy, allowing me to increase cluster size by simply paying more, which results in faster development and deployment processes. High availability is also provided through built-in replications and automatic failovers.
My team consists of 18 people, and our uptime has improved to 99.9% and above. The delivery speed has increased, and I have reduced the delivery cycle by 30 to 50 percent.
What needs improvement?
An improvement I can suggest for MongoDB Atlas is achieving even faster query execution and smoother application performance. In terms of scalability, it handles system growth without failure, but it has experienced some outages that could affect uptime.
For how long have I used the solution?
I have been working with this solution for three years.
What's my experience with pricing, setup cost, and licensing?
Pricing-wise, MongoDB Atlas has a pay-as-you-go strategy. The documentation for MongoDB is very good; I have learned multiple things through reading it. The free tier is M0 for $0, which is suitable for basic applications. Shared clusters such as M2 or M5 are not costly. I also have access to M10 and M20 for larger usage, and I am currently using M40, which is the latest one.
What other advice do I have?
My advice for others considering MongoDB Atlas is that its scalability is exceptional. Even if you do not currently have schema knowledge, you can still use it. Its performance is quite good, as MongoDB allows you to change your data structure easily and supports fast deployment and development with simple JSON. I rate this product a 10.
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.
How would you rate customer service and support?
Positive
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.
How would you rate customer service and support?
Neutral
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.
Luca Botti
Supportive features enable effective data management and growth
Reviewed on Dec 09, 2024
Review provided by PeerSpot
What is our primary use case?
I used MongoDB Atlas for structured data storage as part of an application service provided to one of our customers. The application was based on MongoDB and Atlas. While Google Cloud SQL was used for consulting, I interacted with Google Cloud but was not the final decision maker.
How has it helped my organization?
From an operational point of view, there were no costs associated with maintaining the database on my side, and service costs were acceptable from both my side and the customer’s perspective.
What is most valuable?
I find MongoDB Atlas highly scalable and easy to use, with very good support. The pricing is quite scalable and applies to various scenarios, both for smaller and bigger companies.
MongoDB Atlas has supported our data growth well, and my overall impression is very positive. It is easy to work with and has a reliable support structure. For structured data storage and performance, it provides a comprehensive solution, and the feedback was generally positive.
What needs improvement?
I am not an expert on what improvements could be made to MongoDB . The service is continually evolving with new features while maintaining reasonable pricing, making it attractive for developers.
For how long have I used the solution?
I have been using MongoDB Atlas since 2017 and Google Cloud Platform since 2018.
What do I think about the stability of the solution?
There are no issues mentioned regarding stability. I evaluated MongoDB Atlas as not the best solution for the application in the long term, specifically when the services consolidate themselves.
What do I think about the scalability of the solution?
MongoDB Atlas scales well and supports data growth effectively.
How are customer service and support?
The technical support is very good. I have used them sometimes, even recently, and found the feedback to be spot on our needs.
How would you rate customer service and support?
Neutral
What's my experience with pricing, setup cost, and licensing?
The pricing is quite acceptable and scalable. For our service, it was around 300 to 600 euros per month, which was acceptable for our customers. We could scale up for better performance and scale down when needed.
What other advice do I have?
I highly recommend MongoDB Atlas for both smaller and larger companies.
It is rated an eight out of ten, depending on the use case. As a document-based database, it is one of the better products on the market.