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    MongoDB Atlas for Government

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    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

    Details

    Delivery method

    Deployed on AWS

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    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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    Product comparison

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    Accolades

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    Top
    50
    In Data Warehouses
    Top
    10
    In Data Analysis, Databases & Analytics Platforms, Databases
    Top
    10
    In Analytic Platforms, Databases & Analytics Platforms, Databases

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    4 reviews
    Insufficient data
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    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

    Security credentials

     Info
    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    -
    -
    -
    -
    No security profile

    Contract

     Info
    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4
    5 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    80%
    20%
    0%
    0%
    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 IAM , which is an AWS  service, and that IAM  is integrated with the security manager with single sign-on process, which is also an AWS  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.
    View all reviews