MongoDB Commits to FedRAMP High and DoD Impact Level 5 Authorizations

Benjamin Cefalo
June 30, 2025

I’m pleased to announce that today, MongoDB is taking the next step in our commitment to the U.S. public sector by pursuing Federal Risk and Authorization Management Program (FedRAMP) High and Impact Level 5 (IL5) authorizations for MongoDB Atlas for Government.

Obtaining these advanced authorizations, set by FedRAMP and the U.S. Department of Defense (DoD), will expand MongoDB’s ability to support the U.S. public sector’s most sensitive and mission-critical workloads. These authorizations are essential for agencies and other federal entities handling highly sensitive data. This includes information related to national security, law enforcement, and emergency response. MongoDB Atlas for Government, with its existing FedRAMP Moderate authorization, already enables public sector organizations to meet evolving cybersecurity mandates and to accelerate their migration of legacy applications to the cloud.

What are FedRAMP High and Impact Level 5 authorizations?

The cloud sits at the center of many public sector organizations’ priority lists as they strive to modernize legacy applications and migrate workloads. To mitigate severe risks to operations, assets, and individuals, FedRAMP mandates protective standards for these agencies to follow when partnering with Cloud Service Providers (CSPs).

In particular, agencies that handle highly sensitive, unclassified data, especially in areas such as national security, law enforcement, and emergency response, are required to meet FedRAMP’s High Baseline. This standard includes 421 stringent security controls designed to protect data related to life and safety.

Impact Level 5 (IL5) is a United States Department of Defense (DoD) certification that authorizes CSPs to securely store and process some of the DoD’s highly sensitive data. The DoD uses an “Impact Level” system to classify data by its sensitivity and the potential impact of a data breach. IL5 authorization supports unclassified, yet highly sensitive information that requires strong protections. An IL5 certification permits verified vendors to handle Controlled Unclassified Information, mission-critical details, and data related to national security systems.

MongoDB Atlas for Government is currently authorized at FedRAMP Moderate Baseline, which offers the U.S. public sector a dedicated, secure environment for deploying, managing, and scaling applications in the cloud. Attaining FedRAMP High and IL5 authorization will extend MongoDB’s capabilities to support agencies handling acutely sensitive and critical workloads with the highest compliance standards.

MongoDB Atlas for Government: Driving cloud and AI adoption in the public sector

MongoDB Atlas for Government is an independent, dedicated version of MongoDB Atlas. It is designed specifically to meet the unique needs of the U.S. public sector and independent software vendors (ISVs) developing government solutions. This AI-ready database provides the versatility and scalability required to modernize legacy applications and migrate workloads to the cloud. It operates in a secure, fully managed environment that is authorized at the FedRAMP Moderate level.

MongoDB Atlas for Government is the most versatile means by which the U.S. public sector can deploy, run, and scale workloads in the cloud. With Atlas for Government, public sector organizations and ISVs can:

  • Accelerate time to mission: Move rapidly with a database designed for developer productivity with broad workload support.

  • Achieve multi-cloud flexibility and resilience: Distribute data across multiple cloud providers to meet an organization’s specific needs while optimizing for performance, cost, and resilience.

  • Scale critical workloads reliably: Ensure high availability with automated backup and data recovery options, and scale on demand to meet changing needs.

  • Protect sensitive data confidently: Meet strict government security standards with a platform that is secure by default, FedRAMP Moderate Authorized, and trusted for handling criminal justice information (CJIS).

MongoDB Atlas for Government combines the full functionality of MongoDB’s document database with a powerful suite of data services, including Atlas Search, Vector Search, and more. This unified, multi-cloud database supports a broad range of use cases, including the creation of AI-powered applications, mobile development, transactional workloads, real-time analytics, Internet of Things (IoT) solutions, and single customer views.

Atlas for Government maintains business continuity and minimizes downtime by ensuring robust resilience and comprehensive disaster recovery. Public sector organizations have the peace of mind that data is always protected, given the ~99.995% uptime SLA, auto-scaling to handle data consumption fluctuations, and automated backup and recovery.

How the State of Utah used MongoDB to meet a statewide mandate

The State of Utah’s Electronic Resource and Eligibility Product (eREP) is a mission-critical software system that helps caseworkers determine eligibility for public benefits programs across one of the fastest-growing states in the U.S. To comply with a statewide mandate, the Utah Department of Technology Services needed to migrate eREP off legacy on-premises infrastructure and into a FedRAMP-compliant cloud environment.

The department chose MongoDB Atlas for Government and used cluster-to-cluster sync to migrate from its on-premises data center with minimal disruption. The move to a fully managed, secure cloud database platform delivered immediate performance and operational gains:

  • 25% faster benefits calculations and document retrievals

  • Significantly reduced management overhead for database architects

  • Disaster recovery time cut from 58 hours to less than 5 minutes

“It’s much less cumbersome to maintain our databases now that we’re using fully managed MongoDB Atlas for Government,” said Manoj Gangwar, Principal Data Architect at the Utah Department of Technology Services. Indeed, State of Utah database architects no longer have to manage shards, configurations, or load balancing. They can spend their time on more important developments, such as upgrading the rule engine at the backend of the eREP solution.

With automated backups and improved resilience, eREP now delivers better service to Utah’s roughly 3.5 million citizens. It also reduces the burden on the Department of Technology Services’ IT staff. This frees up resources for modernization and innovation. Learn more here.

Expanding secure cloud support with advanced authorizations

FedRAMP High and IL5 authorizations are required by many public sector organizations to work securely with cloud service providers. Attaining these authorizations enables MongoDB Atlas for Government to support those highly regulated organizations.

With these approvals, government agencies aiming to modernize outdated databases and embrace cloud technology will be able to rely on MongoDB Atlas for Government for secure, fully managed, and compliant operations tailored to meet stringent regulatory standards. Visit the MongoDB Atlas for Government webpage to learn more.

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Unified Commerce for Retail Innovation with MongoDB Atlas

Unified commerce is often touted as a transformative concept, yet it represents a long-standing challenge for retailers—disparate data sources and siloed systems. It’s less of a revolutionary concept and more of a necessary shift to make long-standing problems more manageable. Doing so provides a complete business overview—and enables personalized customer experiences—by breaking down silos and ensuring consistent interactions across online, in-store, and mobile channels. Real-time data analysis enables targeted content and recommendations. Unified commerce boosts operating efficiency by connecting systems and automating processes, reducing manual work, errors, and costs, while improving customer satisfaction. Positive customer experience results in repeat customers, improving revenue, and reducing the cost of customer acquisition. MongoDB Atlas offers a robust foundation for unified commerce, addressing critical challenges within the retail sector and providing capabilities that enhance customer experience, optimize operations, and foster business growth. Figure 1. Customer touchpoints in the retail ecosystem. Retail businesses are shifting to a customer-centric and data-driven approach by unifying the customer journey for a seamless, personalized experience that builds loyalty and growth. While retail has long relied on omnichannel strategies with stores, websites, apps, and social media, these often involve separate systems, causing fragmented experiences and inefficiencies. Unified commerce, integrating physical and digital retail via a unified data platform, is a necessary evolution for retailers facing challenges with diverse platforms and data silos. Cloud-based data architectures, AI, and event-driven processing can overcome these hurdles, enabling enhanced customer engagement, optimized operations, and revenue growth. This integration delivers a frictionless customer experience crucial in today's digital marketplace. Figure 2. Enabling a customer-centric approach with unified commerce. MongoDB Atlas for unified commerce MongoDB Atlas provides a strong foundation for unified commerce, addressing key challenges in the retail sector and offering capabilities that enhance customer experience, optimize operations, and drive business growth. MongoDB's flexible document model allows retailers to consolidate varied data, eliminating data silos. This provides consistent, real-time information across all channels for enhanced customer experiences and better decision-making. In MongoDB diverse data can store without rigid schemas, enabling quick adaptation to changing needs and faster integration of siloed physical and digital systems. Figure 3. Unified customer 360 using MongoDB. Real-world adoption: Lidl , part of Schwarz group, implemented an automatic stock reordering application for branches and warehouses, addressing complex data and high volumes to improve supply chain efficiency through real-time data synchronization. Real-time data synchronization for enhanced Cx In retail, real-time processing of customer interactions is crucial. MongoDB's Change Streams and event-driven architecture allow retailers to capture and react to customer behavior instantly. This enables personalized experiences like dynamic pricing, instant order updates, and tailored recommendations, fostering customer loyalty and driving conversions. Figure 4. Real-time data in the operational data layer for enhanced customer experiences. Atlas change streams and triggers enable real-time data synchronization across retail channels, ensuring consistent inventory information and preventing overselling on both physical and e-commerce platforms. Real-world adoption: CarGurus uses MongoDB Atlas to manage vast amounts of real-time data across its platform and support seamless, personalized user experiences both online and in person. The flexible document model helps them handle diverse data structures required for their automotive marketplace. Scalability & high traffic retail MongoDB Atlas's cloud-native architecture provides automatic horizontal scaling, enabling retailers to manage demand fluctuations like seasonal spikes and product expansions without impacting performance, which is crucial for scaling unified commerce. MongoDB Atlas' auto-scaling and multi-cloud features allow retailers to handle traffic spikes during peak periods(holiday, flash sales) without downtime or performance issues. The platform automatically adjusts resources based on demand, ensuring responsiveness and availability, which is vital for positive customer experiences and maximizing sales. Figure 5. Highly scalable MongoDB Atlas for high-traffic retail. Real-world adoption: Commercetools modernized its composable commerce platform using MongoDB Atlas and MACH architecture and achieved amazing throughput for Black Friday. This demonstrates Atlas's ability to handle high-volume retail events through its scalability features. AI and analytics integration MongoDB Atlas enables retailers to gain actionable insights from unified commerce data by integrating with AI and analytics tools. This facilitates personalized shopping, predictive inventory, and targeted marketing across online and offline channels through data-driven decisions. Personalization is a key driver of customer engagement and conversion in the retail industry. MongoDB Atlas Search , with its full-text and vector search capabilities, enables retailers to deliver intelligent product recommendations, visual search experiences, and AI-powered assistants. By leveraging these advanced search and AI capabilities, retailers can help customers find the products they're looking for quickly and easily, provide personalized recommendations based on their interests and preferences, and create a more intuitive and enjoyable shopping experience. Real-world adoption: L'Oréal improved customer experiences through personalized, inclusive, and responsible beauty across several apps. Retailers on MongoDB Atlas can leverage its unstructured data capabilities, vector search, and AI integrations to create real-time, AI-driven applications. Seamless data integration Atlas offers ETL/CDC connectors and APIs to consolidate diverse retail data into a unified operational layer. This single source of truth combines inventory, customer, transaction, and digital data from legacy systems, enabling consistent omnichannel experiences and eliminating data silos that hinder unified commerce. Figure 6. MongoDB Atlas for unified commerce. Real-world adoption: MongoDB helps global retailers, like Adeo , unify cross-channel data into an operational layer for easy synchronization across online and physical platforms, enabling better customer experiences. Advanced search capabilities MongoDB Atlas provides built-in text and vector search capabilities, enabling retailers to create advanced search experiences for enhanced product discovery and personalization across online and physical channels. Figure 7. Integrated search capabilities in MongoDB. Real-world adoption: MongoDB's data platform with integrated search enables retailers to improve customer experience and unify commerce. Customers like Albertsons use this for both customer-facing and back-office operations. Composable architecture with data mesh principles MongoDB supports a composable architecture that aligns with data mesh principles, enabling retailers to build decentralized, scalable, and self-service data infrastructure. Using a domain-driven design approach, different teams within the organization can manage their own data products (e.g., customers, orders, inventory) as independent services. This approach promotes agility, scalability, and data ownership, allowing teams to innovate and iterate quickly while maintaining data integrity and governance. Figure 7. MongoDB Atlas enables domain-driven design for the retail enterprise data foundation. Global distribution For international retailers using unified commerce, Atlas provides low-latency global data access, ensuring fast performance and data sovereignty compliance across multiple markets. MongoDB Atlas enables retailers to distribute data globally across AWS, Google Cloud, and Azure regions as needed, building distributed and multi-cloud architectures for low-latency customer access worldwide. Figure 8. Serving always-on, globally distributed, write-everywhere apps with MongoDB Atlas global clusters. Use cases: How unified commerce transforms retail Unified commerce streamlines the retail experience by integrating diverse channels into a cohesive system. This approach facilitates customer interactions across online and physical stores, enabling features such as real-time inventory checks, personalized recommendations based on purchase history regardless of the transaction location, and frictionless return processes. The objective is to create a seamless and efficient shopping journey through interconnected and collaborative functionalities using a modern data platform that enables the creation of such a data estate. Always-stocked shelves & knowing what's where: Real-time inventory Offer online ordering with delivery or pickup, providing stock estimates Store staff use real-time inventory to help customers and order, minimizing out-of-stocks Treating customers as individuals is a key aspect of Retail. Retail Enterprises need a unified view of customer data to offer personalized recommendations, offers, and content and offer dynamic pricing based on loyalty and market factors. Engaging customers on their preferred channels with consistent messaging and superior service builds lasting relationships. Seamless order orchestration is crucial, providing flexible fulfillment options (delivery, BOPIS, curbside, direct shipping) and keeping customers informed with real-time updates. Optimizing inventory across stores and warehouses ensures speedy, accurate fulfillment. Along with fulfillment, frictionless returns are vital, offering in-store returns for online purchases, efficient tracking, and immediate refunds. In the digital space, intelligent search and discovery are essential. Advanced search, image-based search, and AI chatbots simplify product discovery and support, boosting conversion rates and brand engagement. Leading retailers leverage MongoDB Atlas for these capabilities, powering AI recommendations, real-time inventory, and seamless omnichannel customer journeys to improve efficiency and satisfaction. The future of unified commerce To remain competitive, retailers should adopt flexible, cloud-based systems. MongoDB Atlas facilitates this transition, enabling unified commerce through real-time data, AI search, and scalable microservices for enhanced customer experiences and innovation. Visit our retail solutions page to learn more about how MongoDB Atlas can accelerate Unified Commerce.

June 26, 2025
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Smarter AI Search, Powered by MongoDB Atlas and Pureinsights

We’re excited to announce that the integration of MongoDB Atlas with the Pureinsights Discovery Platform is now generally available—bringing to life a reimagined search experience powered by keyword, vector, and gen AI. What if your search box didn’t just find results, but instead understood intent? That’s exactly what this integration delivers! Beyond search: From matching to meaning Developers rely on MongoDB’s expansive knowledge ecosystem to find answers fast. But even with a rich library of technical blogs, forum threads, and documentation, traditional keyword search often falls short—especially when queries are nuanced, multilingual, or context-driven. That’s where the MongoDB-Pureinsights solution shines. Built on MongoDB Atlas and orchestrated by the Pureinsights Discovery platform, this intelligent search experience starts with the fundamentals: fast, accurate keyword results, powered by MongoDB Atlas Search . But as queries grow more ambiguous—say, “tutorials for AI”—the platform steps up. MongoDB Atlas Vector Search with Voyage AI , available as an embedding and reranking option (now part of MongoDB), goes beyond literal keywords to interpret intent—helping applications deliver smarter, more relevant results. The outcome: smarter, semantically aware responses that feel intuitive and accurate—because they are. What’s more, with generative answers enabled, the platform synthesizes information across MongoDB’s ecosystem (blog content, forums, and technical docs) to deliver clear, contextual answers using state-of-the-art language models. But it's not just pointing you to the right page. Instead, the platform is providing the right answer, with citations, ready to use. It’s like embedding a domain-trained AI assistant directly into your search bar. “As organizations look to move beyond traditional keyword search, they need solutions that combine speed, relevance, and contextual understanding,” said Haim Ribbi, Vice President, Global CSI, VAR & Tech Partner at MongoDB. “MongoDB Atlas provides the foundation for smarter discovery, and this collaboration with Pureinsights shows how easily teams can deliver gen AI-powered search experiences using their existing content.” Built for users everywhere But intelligence alone doesn’t make it transformational. What sets this experience apart is its adaptability. Whether you’re a developer troubleshooting in Berlin or a product owner building in São Paulo, the platform tailors responses to your preferences. Prefer concise summaries or deep technical dives? Want to translate answers in real time? Need responses that reflect your role and context? You’re in control. From tone and length to language and specificity, this is a search that truly understands you—literally and figuratively. Built on MongoDB. Elevated by Voyage AI. Delivered by Pureinsights. At the core of this solution is MongoDB Atlas, which unifies fast, scalable data access to structured content through Atlas Search and Atlas Vector Search. Looking ahead, by integrating with Voyage AI’s industry-leading embedding models, MongoDB Atlas aims to make semantic search and retrieval-augmented generation (RAG) applications even more accurate and reliable. While currently in private preview, this enhancement signals a promising future for developers building intelligent, AI-powered experiences. Pureinsights handles the orchestration layer. Their Discovery Platform ingests and enriches content, blends keyword, vector, and generative search into a seamless UI, and integrates with large language models like GPT-4. The platform supports multilingual capabilities, easy deployment, and enterprise-grade scalability out of the box. While generative answers are powered by integrated large language models (LLMs) and may vary by deployment, the solution is enterprise-ready, cloud-native, and built to scale. Bringing intelligent discovery to your own data Watch the demo video to see AI-powered search in action across 4,000+ pages of MongoDB content—from community forums and blog posts to technical documentation. While the demo features MongoDB’s content, the solution is built to adapt. You can bring the same AI-powered experience to your internal knowledge base, customer support portal, or developer hub—no need to build from scratch. Visit our partner page to learn more about MongoDB and Pureinsights and how we’re helping enterprises build smarter, AI-powered search experiences. Apply for a free gen AI demo using your enterprise content.

October 1, 2025