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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Sentiment is AI generated from actual customer reviews on AWS and G2
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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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Customer reviews
Madhusree D.
MongoDB Atlas: Effortless Clusters, Flexible Schema, and Reliable Cloud Management
Reviewed on May 19, 2026
Review provided by G2
What do you like best about the product?
I mostly use MongoDB Atlas as the cloud database for my web projects and small full-stack applications. I like how straightforward it is to create a cluster and connect it to my Node.js apps with Mongoose. It has helped a lot with deployment and day-to-day database management by giving me a consistent, reliable environment that I can access from anywhere.
I also appreciate not having to manage servers myself or handle backups manually. On top of that, the schema-less approach makes updates simpler than with more structured databases. I really value the flexibility of the document schema for unpredictable development needs, since it lets me reorganize data without dealing with traditional relational tables. Overall, the document model saves me a lot of development time because I can add new fields and adjust how information is stored without repeatedly restructuring the database.
I also appreciate not having to manage servers myself or handle backups manually. On top of that, the schema-less approach makes updates simpler than with more structured databases. I really value the flexibility of the document schema for unpredictable development needs, since it lets me reorganize data without dealing with traditional relational tables. Overall, the document model saves me a lot of development time because I can add new fields and adjust how information is stored without repeatedly restructuring the database.
What do you dislike about the product?
For personal project its great but when I have to implement a dedicated cluster for a client project the jump from M0 to M10 is quite large in terms of pricing. I also feel that whenever I am trying to run deep analytical query or try to join multiple tables together things get messy, it also can be very heavy on CPU cluster if my indexes aren't perfectly optimized.
What problems is the product solving and how is that benefiting you?
I like how easy it is to implement. I don’t have to worry about installing MongoDB on a cloud server, configuring firewall rules, managing security updates, or dealing with anything complicated. I’ve been using this since I was a novice in development, and using Atlas has helped me a lot because I don’t have to think about major connection or configuration issues when I move a local database to production.
M. Berkay T.
Reachable, Easy to Use, and a Big Time-Saver with Atlas
Reviewed on May 18, 2026
Review provided by G2
What do you like best about the product?
Reachable and always ready. Its easy to use. I dont need to make my own onpremise clusters anymore, i can use that time more productively with Atlas !
What do you dislike about the product?
Everything is ok. Free tier is little slow but okay fair enough.
What problems is the product solving and how is that benefiting you?
mongo atlas really calm and peaceful place that helping people solves their big db confused moments because their platform is very friendly and easy to use. Also secure.
Emmanuel B.
MongoDB Accelerated Our ERP/Ecommerce Development
Reviewed on May 18, 2026
Review provided by G2
What do you like best about the product?
Going from a SQL background to NoSQL wasn’t easy at first, but it ended up paying off in a big way. I built our full ERP/eCommerce system using MongoDB, and it really accelerated development.
When I started this project 8 years ago, I was warned not to choose NoSQL because it supposedly wasn’t recommended for this type of project. I’m glad I didn’t follow that advice.
When I started this project 8 years ago, I was warned not to choose NoSQL because it supposedly wasn’t recommended for this type of project. I’m glad I didn’t follow that advice.
What do you dislike about the product?
It’s very fast overall. The only time I notice it slowing down is during lookups when there’s a lot of data. Even then, it’s super easy to create data indexes and optimize everything.
What problems is the product solving and how is that benefiting you?
It transforms slow SQL DB design into an easy, auto-created document with a clear structure. It really helps speed up development.
Umesh Chandran Y.
Flexible and Efficient, Although a Bit Complex
Reviewed on May 07, 2026
Review provided by G2
What do you like best about the product?
I mostly use MongoDB Atlas for my cloud database in web projects and small full-stack applications. I enjoy how easy it is to create a cluster and integrate with my Node.js applications using Mongoose. MongoDB Atlas has helped me significantly with deployment and database management, providing a consistent and available environment from any location. I like that it allows me to stop managing the server and handling backups manually. The schema-less nature makes it simpler to handle updates compared to structured databases. I really enjoy the flexibility of the document schema, which caters to unpredictable needs in development, making it easier to reorganize the database without dealing with traditional relational tables. The flexible document model saves me a lot of development time by allowing me to easily add new fields and change how information is stored, without needing to restructure the database repeatedly.
What do you dislike about the product?
The dashboard can be a bit overwhelming if you don't have a working knowledge of cloud databases. There are areas such as clusters, metrics, networking configuration, backup, and security. I had to frequently refer to the documentation to understand which specific configuration was needed to change. The error messages did not give much away, so it ended up being more troubleshooting configuration than the backend.
What problems is the product solving and how is that benefiting you?
I use MongoDB Atlas for cloud database management in web apps, simplifying deployment across environments and stopping server-side hassle. Its flexible schema handles frequent data updates easily, saving me development time and reducing effort compared to traditional databases.
Garrick C.
Effortless Database Management with MongoDB Atlas
Reviewed on Apr 30, 2026
Review provided by G2
What do you like best about the product?
I really appreciate the managed aspect of all parts of database maintenance via a really easy-to-use web-based GUI, which makes MongoDB Atlas an exceptional product to work with daily. It removes all the friction in quickly accessing and managing the database clusters from any device and any place in the world at any time. This is a significant advantage, especially if there's an issue I need to respond to and I don't have a CLI tool to start up. It's very easy to set up and integrate with your preferred cloud host, networking, and database access libraries. I definitely recommend it for the document database.
What do you dislike about the product?
I think they need a better way to manage network access for multiple users or services including tags and managed UI request forms for access. The database triggers are also fairly painful to setup and manage at scale.
What problems is the product solving and how is that benefiting you?
I use MongoDB Atlas for database security, scaling, maintenance, performance, configuration changes, and managed CDC streaming for my web applications and AI embeddings.