Sold by: MongoDB, IncÂ
Deployed on AWS
Vendor Insights
MongoDB Atlas for Government is a separate environment of MongoDB Atlas, dedicated to meeting the demanding security and privacy needs of the US Government. Easily deploy, operate, and scale MongoDB on AWS by letting Atlas take care of time-consuming administration tasks.
Overview
MongoDB Atlas for Government has achieved FedRAMP Moderate Authorization and is a separate environment of MongoDB Atlas, dedicated to meeting the demanding security and privacy needs of the US Government.
It is a fully managed MongoDB service engineered and run by the same team that builds the database and MongoDB Atlas. It incorporates operational best practices we've learned from optimizing thousands of deployments across startups and the Fortune 100. Build on MongoDB Atlas for Government with confidence, knowing that you no longer need to worry about database management, setup, and configuration, software patching, monitoring, backups, or operating a reliable, distributed database cluster.
MongoDB Atlas for Government is available in AWS GovCloud and AWS US FedRAMP Moderate regions.MongoDB Atlas for Government for AWS Marketplace includes: 24,000 MongoDB Atlas for Government Credits valid for 12 months for USD 24,000. Credits are consumed based on the chosen cluster configuration, backup settings, and network transfer costs
MongoDB Atlas for Government Pro Support with 2 hr response time SLA. The MongoDB Atlas for Government Pro plan provides access to proactive, consultative support. The same team that builds the database helps you throughout your entire application lifecycle. You can ask MongoDB experts unlimited questions, 24 x 365, globally.
Highlights
- Highly available: Clusters are geo-distributed fault-tolerant and self-healing. Deploy across multiple regions (e.g.: spanning GovCloud east and west regions) for even better guarantees and local reads.
- Protect your data: Strong security defaults with authentication, network isolation, encryption, and role-based access controls keep your data protected.
- Build semantic search and AI-powered applications: Integrate the operational database and vector search in a single, unified, and fully managed developer data platform with a MongoDB native interface that leverages large language models (LLMs) through popular frameworks
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Deployed on AWS
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Security credentials achieved
(3)
ISO27001
SOC2
FedRAMP
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By MongoDB, Inc
By SingleStore
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In Data Analysis, Databases & Analytics Platforms, Databases
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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
Database Clustering
Geo-distributed fault-tolerant clusters with self-healing capabilities and multi-region deployment options
Security Framework
Strong authentication mechanisms with network isolation, encryption, and role-based access controls
Compliance Certification
FedRAMP Moderate Authorization for US Government security and privacy requirements
Vector Search Capability
Native integration of operational database with vector search functionality leveraging large language models through popular frameworks
Deployment Environment
Specialized service available in AWS GovCloud and AWS US FedRAMP Moderate regions with fully managed database infrastructure
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
No
Customer reviews
4
5 ratings
5 AWS reviews
|
376 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.
Anand Bandi
Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance
Reviewed on Oct 02, 2025
Review from a verified AWS customer
What is our primary use case?
Our main use cases for MongoDB Enterprise Advanced involve customer-related data and transactions related data; all the customer-facing data will be there. For the project we are using it in telecom. All the customer-related transaction data, their plans, their telecom plans, their consumption, and all those details will be there.
We are using MongoDB Enterprise Advanced in the telecom domain, and we are using this in the customer-facing area. All the customer-related data both for transactions and point of sales data are stored here.
What is most valuable?
Advanced security features are helpful; our database access security is done through IAMÂ , which is an AWSÂ service, and that IAMÂ is integrated with the security manager with single sign-on process, which is also an AWSÂ service. It's a combination of all that. This was integrated with MongoDB Enterprise Advanced security perspective; that's how we are taking care of the access-related security.
We do use the in-memory storage engine as part of performance improvement; these are already tuned.
It improves the performance depending on the load. When the database receives numerous requests, it has to perform. Those threshold limits we come to know, and then automatically these memory enhancement advanced features are configured so that during high demand periods, memory automatically increases to cater to the incoming advanced requests and volume of requests.
We are using real-time analytics and monitoring in MongoDB Enterprise Advanced; it is integrated. The existing advanced feature is integrated with our business analytics interface. All the various business intelligence reports are generated from that.
What needs improvement?
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I could see. I will not be able to clearly say there is currently a deficiency there.
All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.
For how long have I used the solution?
I have been working with MongoDB Enterprise Advanced for almost more than three to four years.
What do I think about the stability of the solution?
It's pretty much stable; we have not faced any major challenges or difficulties with MongoDB Enterprise Advanced. It is basically transactional from the platform standpoint. Mostly from the product heavy search during those times, which presents capacity planning challenges only, but from the platform standpoint, we have not observed any specific technical issues.
It's pretty much stable; I haven't received any complaints regarding stability.
What do I think about the scalability of the solution?
MongoDB Enterprise Advanced is easy to scale.
How are customer service and support?
We did contact technical support for MongoDB Enterprise Advanced but it goes to a central team. We have received fairly good support whenever we reached out to the technical teams; they were prompt. Once in a while there was a bit of a delay in response but that depends on the technical issue. Overall, we are satisfied with the support.
How would you rate customer service and support?
Positive
How was the initial setup?
For MongoDB Enterprise Advanced, the initial setup is straightforward; it is not too complex. It is comfortable to implement.
What was our ROI?
I would say we see value in money and return on investment with MongoDB Enterprise Advanced.
What's my experience with pricing, setup cost, and licensing?
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on that right now; we are satisfied with the pricing.
What other advice do I have?
It's good; for first-time users, if somebody is looking for a good guaranteed database for all structured and unstructured data, MongoDB Enterprise Advanced is the way to go. On a scale of one to ten, I rate this solution an eight.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Kunal D.
2+ Yrs of experience using mongodb atlas
Reviewed on Oct 01, 2025
Review provided by G2
What do you like best about the product?
Flexibility, Ease of use and efficiency as well database connection and interaction while development phase.
What do you dislike about the product?
For the NoSQL databases, it's fine; I didn't feel that anything was wrong.
What problems is the product solving and how is that benefiting you?
We have used this database for the IOT and edtech domain projects. The flexibility provided by the database is insane for the IOT application there is irrelevant and most of the unstructured data we are storing, its critical to manage in sql databases
Kunal D.
A review by the user having experience of 2+ years
Reviewed on Sep 19, 2025
Review provided by G2
What do you like best about the product?
simplicity, ease of use, scaling, sharding, data management
What do you dislike about the product?
Sometimes the database clusters take time while loading the data
What problems is the product solving and how is that benefiting you?
We have used MongoDB Atlas to build IoT applications as well as payment systems.
Sanjay C.
Best cloud database management system for nosql db
Reviewed on Sep 09, 2025
Review provided by G2
What do you like best about the product?
By using the mongodb atlas cloud it is very easy to scale up on one click and it is very easy to integrate with application and for the day to day usage it is very easy .It is customer support and user interface is soo easy to manage.
What do you dislike about the product?
In dont like about the altas is that that pricing comes expensive as a data and cluster. cold start issue for the paused cluster.
What problems is the product solving and how is that benefiting you?
It is remove the complexity of the database server and the mangement and one best thing about it that it provides the automatic backups and high availablity for the poducation grade system this features benifit use alot.
Akanksha R.
Mongodb as the good flexibility, scalable to more data and performance , stores different data types
Reviewed on Sep 08, 2025
Review provided by G2
What do you like best about the product?
It good as it store different types of data structures, different types of documents as it as good scalability and has good performance.
What do you dislike about the product?
It doesn't support multi document ACID and contains high memory usage which has data inconsistencies sometimes.
What problems is the product solving and how is that benefiting you?
It helped me in doing the complex projects with the multiple documents and is flexible and has high availability and performance.