Sold by: MongoDB, Inc
Deployed on AWS
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Trusted by global brands, MongoDB Atlas on AWS is a deeply integrated data platform that powers scaled, enterprise level AI applications across various industries.
Overview
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MongoDB Atlas is the data foundation for the AI era, unifying operational, analytical, and AI workloads in a single database platform.
With MongoDB Atlas on AWS, enterprises can turn AI into ROI faster using proven technology, combined industry experience, and dedicated support from MongoDB and AWS.
Try MongoDB 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 the demands of your application. 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.
Highlights
- MongoDB Atlas integrates native vector search directly into an operational database, significantly simplifying the creation of RAG and agentic AI solutions. This eliminates the necessity for separate search infrastructure, enabling teams to accelerate iteration, optimize dynamically, and expedite the deployment of generative AI applications compared to traditional relational databases.
- MongoDB Atlas has a flexible document model that enables the storage and synchronization of varied data types - structured, unstructured, and semi-structured - even as these datasets change. This makes it an ideal foundation for AI-driven applications that depend on dynamic and diverse information.
- MongoDB Atlas provides robust, built-in security features that safeguard your data and ensure security by default. It complies with key industry standards like HIPAA, GDPR, ISO 27001, and PCI DSS, allowing you to build confidently with industry-leading data protection.
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Deployed on AWS
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Buyer guide
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Pricing
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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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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.
Vendor refund policy
This is a pay as you go service. You will be invoiced based on your usage.
Custom pricing options
Request a private offer to receive a custom quote.
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Delivery details
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Updated weekly
By MongoDB, Inc
By SingleStore
Top
10
In Databases & Analytics Platforms, Generative AI
Top
10
In Data Analysis, Databases & Analytics Platforms, Databases
Top
10
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
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Vector Search Capability
Native vector search integration directly within the operational database, enabling efficient RAG and agentic AI solution development
Data Model Flexibility
Document-based model supporting storage and synchronization of structured, unstructured, and semi-structured data types with dynamic adaptability
Security Compliance
Built-in security features compliant with industry standards including HIPAA, GDPR, ISO 27001, and PCI DSS
AI Application Support
Unified platform for operational, analytical, and AI workloads with seamless data management capabilities
Database Architecture
Single database platform designed to support enterprise-level AI application development and scaling
Database Architecture
Multi-purpose database supporting key-value, JSON documents, SQL query, vectors, and full-text search capabilities
Scalability Model
Dynamic scaling with ability to scale out, in, up, and down across individual database services
Data Synchronization
Fully managed data synchronization for mobile and IoT use cases with edge device support
Security Framework
Advanced role-based access control (RBAC) with encryption for data in transit and at rest
Analytics Processing
Native JSON-based analytics with zero ETL transformation and real-time processing architecture
Distributed Database Architecture
Fully managed, distributed SQL database supporting transactional and analytical workloads in a single engine
Vector Search Capabilities
Integrated vector search functionality with indexed search for AI applications and generative AI use cases
High-Performance Data Ingestion
Ability to ingest millions of events per second using parallel, distributed lock-free pipelines
Concurrent Query Processing
Supports scaling access to tens or hundreds of thousands of concurrent users with super-low latency queries
Cloud-Native Infrastructure
Built on a modern, lock-free cloud-native architecture enabling elastic scalability and high-performance data processing
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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No security profile
Standard contract
No
No
Customer reviews
4.2
39 ratings
39 AWS reviews
|
506 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
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.
Nashit H.
Highly flexible and scalable database that can be used as general purpose db
Reviewed on Oct 10, 2025
Review provided by G2
What do you like best about the product?
The flexibility of its schema, and the amount of scalability it provides, be it horizontal or vertical. Aggregation & high availability makes it a wonderful choice. Extremely easy to use and integrate with any language, make it the first choice.
What do you dislike about the product?
Duplicity and no native joins are a concern.
What problems is the product solving and how is that benefiting you?
I had integrated ML features in my application, and SQL based databases, were a nightmare, so I switched over. Now, most of my applications are using mongo.
Ronen S.
Easy Solution for data management
Reviewed on Oct 02, 2025
Review provided by G2
What do you like best about the product?
Flexible schema, scalability and high performance ,built in horizontal scaling with sharding (distributes data across multiple servers).
What do you dislike about the product?
When it comes to data consistency compared to SQL, this system by default emphasizes availability and partition tolerance, as described by the CAP theorem. Achieving strong consistency is possible, but it demands careful setup, particularly in configuring write concerns and read preferences.
What problems is the product solving and how is that benefiting you?
Rigid schemas are a hallmark of traditional SQL databases, which require you to define a fixed structure in advance. When your application changes rapidly—such as when you introduce new features or fields—updating the schema can be a cumbersome process. In contrast, MongoDB addresses this issue with its flexible schema approach, allowing you to add or modify fields in your documents without causing downtime.
Abhishek C.
Flexible Data Storage with Developer-Friendly Experience
Reviewed on Oct 01, 2025
Review provided by G2
What do you like best about the product?
MongoDB's best part is the flexibility it gives you as a developer. That schema-less structure makes it super easy to just start building something without overthinking all your tables and relations like you do in SQL. On my last project, we had to handle this dynamic insurance data where the fields weren't fixed at all, and Mongo just handled it perfectly. It's really easy to use, especially if you're already comfortable with JSON, 'cause the documents just feel natural. Integrating it with Spring Boot was smooth too – I didn't have to spend a ton of time configuring things, you basically just plug in the driver and go. Implementation-wise, it's not super heavy compared to some other databases, and scaling with replica sets and sharding works decent once you get the hang of it. For customer support, I've never used the enterprise version, but the community forums and the docs are pretty strong; I usually find answers quick. I use MongoDB a lot for side projects and at work, especially when the speed of development matters more than having a super strict schema.Overall, it just feels modern and fast and developer-friendly. It might not be the perfect choice for every single thing, but for projects where the requirements are always changing, MongoDB really saves you time.
What do you dislike about the product?
Yeah, what I don't love about MongoDB is how the performance can just fall off if you don't stay on top of your indexes. At first everything's super fast, but once your data gets bigger, some queries just start dragging and you realize you gotta spend all this time tuning indexes.And they do have transactions now, which is good, but it's still not as strong or smooth as what you get with a relational DB like Postgres. For stuff where you need really strict consistency, Mongo can feel a little risky sometimes. I also think the aggregation framework has a pretty high learning curve. Some queries that would just be a simple JOIN in SQL end up being these crazy long pipelines in Mongo, and it can get messy. It's a solid tool for sure, but it's definitely not a "set it and leave" kind of deal. You really gotta keep an eye on it and tune things regularly.
What problems is the product solving and how is that benefiting you?
So the main problem MongoDB solves for us is handling all this unstructured and semi-structured data. Like in our insurance systems, all these different partners send over data that's slightly different, with fields that are always changing or totally optional. With SQL it was a huge pain to constantly be altering tables, but with Mongo we just take the JSON and store it as-is, which honestly saves us a ton of time. We can just prototype and push feature super quick without getting stuck on some rigid schema designs. It makes the team way more agile and we don't have to rely on a DBA for every little schema change. Scalability is another area where it really helps. Once the dataset gets huge, we can scale out with replica sets or sharding without a massive rewrite on the code side. For stuff that's really read-heavy, it performs great—once you finally get the indexes sorted out anyway . Overall, it just lets us move faster, handle messy, evolving data, and there's a lot less friction between us backend devs and the whole database structure thing.
Naveen V.
Seamless Managed MongoDB Experience
Reviewed on Sep 23, 2025
Review provided by G2
What do you like best about the product?
Below are the features which i like the most about the db:
1. scalability and performance
2. robust managed service
3. flexible data model
1. scalability and performance
2. robust managed service
3. flexible data model
What do you dislike about the product?
The only things that concern me are the cost of the D,B which can spike with the scale
What problems is the product solving and how is that benefiting you?
Below are the major problems which is being solved by the mongodb
1.flexible data handling
2.high avaialability and scaling
3.Manged operation with atlas like auto backup , monitoring etc
1.flexible data handling
2.high avaialability and scaling
3.Manged operation with atlas like auto backup , monitoring etc