Sold by: MongoDB, Inc
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.
4.5
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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By MongoDB, Inc
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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
High Availability and Fault Tolerance
Clusters are geo-distributed, fault-tolerant, and self-healing with multi-region deployment capabilities across GovCloud regions for improved redundancy and local read performance.
Data Security and Access Control
Strong security defaults including authentication, network isolation, encryption, and role-based access controls to protect data.
Vector Search and Semantic Capabilities
Integrated vector search functionality within the operational database enabling semantic search and AI-powered applications with support for large language models through popular frameworks.
Fully Managed Database Service
Fully managed MongoDB service that eliminates database administration tasks including setup, configuration, software patching, monitoring, backups, and distributed cluster operations.
FedRAMP Compliance
Achieves FedRAMP Moderate Authorization and operates in dedicated environments within AWS GovCloud and AWS US FedRAMP Moderate regions to meet US Government security and privacy requirements.
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
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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No security profile
Standard contract
No
No
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Customer reviews
Romel Jr Zerna
Document data has streamlined prototyping and now supports secure cloud deployments
Reviewed on Apr 08, 2026
Review provided by PeerSpot
What is our primary use case?
A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.
What is most valuable?
I think the document-based approach is valuable. It's not SQL-based, so it's fairly easy to prototype. However, there is a con to that, which is that you don't have any migration. It's a double-edged sword.
We always use Redis for the in-memory storage engine with MongoDB Enterprise Advanced.
What needs improvement?
I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the ORM that we use, doesn't have full support for MongoDB Enterprise Advanced. It really falls short of that because many developers are using Prisma instead of Mongoose or their underlying native drivers. I think one point is that their native drivers, or how you query data from their native tools, is just much more difficult.
For how long have I used the solution?
I have been using MongoDB Enterprise Advanced for over three years.
How are customer service and support?
I had technical support from MongoDB Enterprise Advanced over two years ago. I think they resolved it, but it was very long. We waited for a day or two.
How was the initial setup?
On Atlas, it can take about an hour, but on DigitalOcean, if I do it again, I'd say it's maybe two hours or so for setup.
I do it mostly alone for the installation.
What's my experience with pricing, setup cost, and licensing?
I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one that MongoDB Enterprise Advanced provides, it's fairly easy to set up.
What other advice do I have?
I use the cloud version of the product. MongoDB Enterprise Advanced is from MongoDB, though I also use DigitalOcean as a third-party provider.
Maybe it's all more about preferences. I think MongoDB Enterprise Advanced has weak support on the ORM side, particularly if you're using Prisma. I think mostly the focus now on the tools we have is PostgreSQL. MongoDB Enterprise Advanced is not really used that much on our side for production.
It's not really a weak point. It's more of a double-edged sword. If you like document-based management databases and you don't want any migrations, then you go to MongoDB Enterprise Advanced. If you want more secure databases, then you use SQL.
On the account management and the way you secure the connection strings, I have utilized advanced security features with MongoDB Enterprise Advanced.
I think it's very expensive on the Atlas enterprise side. But if you go to other providers of MongoDB Enterprise Advanced, such as DigitalOcean, it may be harder to set up, but they can save you money. My review rating for MongoDB Enterprise Advanced is 8 out of 10.
Achirachaya T.
Reliable Hosting with Easy Scaling and Monitoring
Reviewed on Feb 10, 2026
Review provided by G2
What do you like best about the product?
I use MongoDB Atlas for hosting our MongoDB, and I appreciate its reliability; I've never had any problems with its uptime. I really like the tools it offers for scaling and performance monitoring, as they are easy to use with a nice user interface. It's great that new MongoDB versions are deployed as soon as they are released, allowing me to use new features without any delay. The initial setup was easy without any problems, which I really value.
What do you dislike about the product?
I think their alerting system may be a bit improved, for example so I can setup more granular alerts. For example, I can't set up composite rules (for example error rate of specific endpoint + CPU threshold, etc). Basically, it's limited in customization.
What problems is the product solving and how is that benefiting you?
MongoDB Atlas manages server setup, replication, autoscaling, and backup, saving me from managing these complex tasks.
Anna J.
Easy, Intuitive UI with Great Documentation
Reviewed on Jan 31, 2026
Review provided by G2
What do you like best about the product?
easy UI, very intuitive, good documentation
What do you dislike about the product?
there is nothing I dislike - customer support might respond faster
What problems is the product solving and how is that benefiting you?
Easy and very fast database setup for frontend projects
Renewables & Environment
Atlas is our “set it and forget it” database layer
Reviewed on Dec 08, 2025
Review provided by G2
What do you like best about the product?
Automated scaling, backups, monitoring and performance alerts make it incredibly easy to maintain clusters without dedicating a team to infrastructure. Added to that, the UI is intuitive, queries run fast and features like Atlas Search, Charts and built-in security controls help ship features quickly.
What do you dislike about the product?
Some configuration options feel hidden behind tiers. Also, greater transparency around cost optimization or in-platform recommendations would make the experience even smoother.
What problems is the product solving and how is that benefiting you?
Atlas gives us a fully managed, highly scalable database platform so our team doesn’t have to manage uptime or deployments. Its ability to automatically handle all the operational tasks like backups, replication, sharding and monitoring, has allowed us to move faster, reduce operational overhead and maintain reliable uptime while scaling our applications.
Leandro A.
Intuitive UI Simplifies Database Management
Reviewed on Dec 03, 2025
Review provided by G2
What do you like best about the product?
I appreciate MongoDB Atlas for making database management more user-friendly with its intuitive UI, which makes it more comfortable to work with compared to using only the terminal. The feature for managing MongoDB aggregations is particularly beneficial, allowing me to build queries from smaller parts efficiently and intuitively, making the process significantly easier than doing it manually. I highly value how MongoDB Atlas helps me work seamlessly with databases, especially when I am developing and need to check the state of my data. Its performance is fast, which I like, and it integrates well when I am working on the backend with Visual Studio Code. Overall, it's easy to set up if environment variables are configured correctly, making the whole process straightforward.
What do you dislike about the product?
I think it works great , I don't see anything to improve particularly
What problems is the product solving and how is that benefiting you?
I use MongoDB Atlas for database management due to its intuitive UI, making complex tasks like writing aggregations easier than using the terminal. It helps me efficiently query collections and manage data during development.