MongoDB Deepens Relationship with Microsoft through New Integrations for AI and Data Analytics and Microsoft Azure Arc Support
MongoDB (MDB) announced three new capabilities through an expanded collaboration with Microsoft. First, MongoDB Atlas can now be used as a vector store in Microsoft Azure AI Foundry, enabling RAG applications with Azure OpenAI Service. Second, Open Mirroring in Microsoft Fabric for MongoDB Atlas allows near real-time data synchronization. Third, MongoDB Enterprise Advanced is now available on Azure Marketplace for Azure Arc-enabled Kubernetes applications, supporting multi-environment deployments.
The integrations enable customers to enhance LLMs with proprietary data stored in MongoDB Atlas, generate faster business insights through Microsoft Fabric, and deploy MongoDB across various environments including on-premises, hybrid, and multi-cloud setups.
MongoDB (MDB) ha annunciato tre nuove funzionalità attraverso un ampliamento della collaborazione con Microsoft. Innanzitutto, MongoDB Atlas può ora essere utilizzato come un archivio vettoriale in Microsoft Azure AI Foundry, abilitando applicazioni RAG con il Servizio Azure OpenAI. In secondo luogo, la Mirrorizzazione Aperta in Microsoft Fabric per MongoDB Atlas consente la sincronizzazione dei dati quasi in tempo reale. Infine, MongoDB Enterprise Advanced è ora disponibile sul Azure Marketplace per applicazioni Kubernetes abilitate da Azure Arc, supportando distribuzioni multi-ambiente.
Le integrazioni consentono ai clienti di migliorare i LLM con dati proprietari archiviati in MongoDB Atlas, generare intuizioni aziendali più rapide attraverso Microsoft Fabric e distribuire MongoDB in vari ambienti, inclusi quelli on-premises, ibridi e multi-cloud.
MongoDB (MDB) anunció tres nuevas capacidades a través de una colaboración ampliada con Microsoft. Primero, MongoDB Atlas ahora puede ser utilizado como un almacén de vectores en Microsoft Azure AI Foundry, permitiendo aplicaciones RAG con el Servicio Azure OpenAI. Segundo, la Espejo Abierto en Microsoft Fabric para MongoDB Atlas permite la sincronización de datos casi en tiempo real. Por último, MongoDB Enterprise Advanced ya está disponible en el Azure Marketplace para aplicaciones de Kubernetes habilitadas por Azure Arc, apoyando implementaciones en múltiples entornos.
Las integraciones permiten a los clientes mejorar los LLM con datos propietarios almacenados en MongoDB Atlas, generar información empresarial más rápida a través de Microsoft Fabric y desplegar MongoDB en diversos entornos, incluyendo configuraciones locales, híbridas y multi-nube.
MongoDB (MDB)가 Microsoft와의 협업 확장을 통해 세 가지 새로운 기능을 발표했습니다. 첫째, MongoDB Atlas는 이제 Microsoft Azure AI Foundry에서 벡터 저장소로 사용할 수 있어 Azure OpenAI 서비스와 함께 RAG 애플리케이션을 가능하게 합니다. 둘째로, Microsoft Fabric의 MongoDB Atlas를 위한 오픈 미러링은 거의 실시간 데이터 동기화를 허용합니다. 세 번째로, MongoDB Enterprise Advanced가 이제 Azure Arc가 활성화된 Kubernetes 애플리케이션을 위한 Azure Marketplace에서 사용할 수 있습니다. 이를 통해 다중 환경 배포를 지원합니다.
이 통합 기능은 고객이 MongoDB Atlas에 저장된 독점 데이터로 LLM을 개선하고, Microsoft Fabric을 통해 더 빠른 비즈니스 통찰력을 생성하며, 온프레미스, 하이브리드 및 멀티 클라우드 환경을 포함한 다양한 환경에 MongoDB를 배포할 수 있도록 합니다.
MongoDB (MDB) a annoncé trois nouvelles capacités grâce à une collaboration élargie avec Microsoft. Tout d'abord, MongoDB Atlas peut désormais être utilisé comme un magasin de vecteurs dans Microsoft Azure AI Foundry, permettant ainsi des applications RAG avec le Service Azure OpenAI. Deuxièmement, le miroir ouvert dans Microsoft Fabric pour MongoDB Atlas permet une synchronisation des données presque en temps réel. Troisièmement, MongoDB Enterprise Advanced est maintenant disponible sur le Azure Marketplace pour les applications Kubernetes activées par Azure Arc, soutenant des déploiements multi-environnements.
Les intégrations permettent aux clients d'améliorer les LLM avec des données propriétaires stockées dans MongoDB Atlas, de générer des informations commerciales plus rapides par le biais de Microsoft Fabric, et de déployer MongoDB dans divers environnements, y compris sur site, hybrides et multi-cloud.
MongoDB (MDB) hat drei neue Funktionen durch eine erweiterte Zusammenarbeit mit Microsoft angekündigt. Erstens kann MongoDB Atlas jetzt als Vektor-Store in Microsoft Azure AI Foundry verwendet werden, wodurch RAG-Anwendungen mit dem Azure OpenAI Service ermöglicht werden. Zweitens erlaubt das Open Mirroring in Microsoft Fabric für MongoDB Atlas eine nahezu in Echtzeit stattfindende Datensynchronisation. Drittens steht MongoDB Enterprise Advanced jetzt im Azure Marketplace für Kubernetes-Anwendungen mit Azure Arc zur Verfügung und unterstützt Multi-Umgebungsbereitstellungen.
Die Integration ermöglicht es den Kunden, LLMs mit proprietären Daten zu verbessern, die in MongoDB Atlas gespeichert sind, schneller geschäftliche Einblicke durch Microsoft Fabric zu generieren und MongoDB in verschiedenen Umgebungen zu implementieren, einschließlich On-Premises-, Hybrid- und Multi-Cloud-Setups.
- New integration with Azure OpenAI Service enables vector storage capabilities for AI applications
- Near real-time data synchronization with Microsoft Fabric enhances analytics capabilities
- Expanded deployment flexibility through Azure Arc support
- Available in 48 Azure regions globally
- None.
Insights
The expanded MongoDB-Microsoft collaboration introduces three significant technical integrations that strengthen MongoDB's enterprise value proposition. The integration with Azure OpenAI Service positions MongoDB Atlas as a vector store for RAG applications, enabling enterprises to leverage their proprietary data with LLMs. The near real-time data syncing with Microsoft Fabric enhances MongoDB's analytics capabilities, while Azure Arc support expands deployment flexibility across hybrid and multi-cloud environments.
These integrations address critical enterprise needs in AI implementation, data analytics and cloud infrastructure management. The partnership particularly strengthens MongoDB's competitive position in the enterprise database market, offering seamless integration with Microsoft's popular enterprise tools. The availability across 48 Azure regions significantly expands MongoDB's global reach and enterprise accessibility.
This strategic partnership significantly enhances MongoDB's enterprise value proposition. The RAG capabilities through Azure AI Foundry address a important market need for AI-powered enterprise applications, while the Microsoft Fabric integration enables real-time analytics - a critical requirement for modern businesses. The Azure Arc support provides the deployment flexibility that enterprise customers demand.
The endorsements from major enterprises like Trimble and Eliassen Group validate the practical value of these integrations. This expanded partnership should strengthen MongoDB's position in enterprise deals where Microsoft Azure is the preferred cloud platform, potentially accelerating enterprise adoption and revenue growth.
MongoDB Atlas now available on Azure OpenAI Service
New Microsoft Fabric Mirroring integration with MongoDB Atlas allows for near real-time data syncs
MongoDB Enterprise Advanced now available on Azure Marketplace for Azure Arc-enabled Kubernetes applications
Through the strengthened MongoDB-Microsoft relationship, customers will be able to:
- Enhance LLMs with proprietary data stored in MongoDB Atlas: Accessible through Azure AI Foundry, the Azure OpenAI Service allows businesses to develop RAG applications with their proprietary data in combination with the power of advanced LLMs. This new integration with Azure OpenAI Service enables users to take enterprise data stored in MongoDB Atlas and augment LLMs with proprietary context. This collaboration makes it easy to build unique chatbots, copilots, internal applications, or customer-facing portals that are grounded in up-to-date enterprise data and context. Developers are now able to add MongoDB Atlas as a vector data store for advanced LLMs, all without the need for additional coding or pipeline building. And through Azure AI Foundry's "Chat Playground" feature, developers can quickly test how their enterprise data and selected LLM function together before taking it to production.
- Generate key business insights faster: Microsoft Fabric empowers businesses to gather actionable insights from their data on an AI-powered Analytics platform. Now Open Mirroring in Microsoft Fabric with MongoDB Atlas will allow for a near real-time connection, to keep data in sync between MongoDB Atlas and OneLake in Microsoft Fabric. This enables the generation of near real-time analytics, AI-based predictions, and business intelligence reports. Customers will be able to seamlessly take advantage of each data platform without having to choose between one or the other, or without worrying about maintaining and replicating data from MongoDB Atlas to OneLake.
- Deploy MongoDB Their Way: The launch of MongoDB EA on Azure Marketplace for Azure Arc-enabled Kubernetes applications gives customers greater flexibility when building applications across multiple environments. With MongoDB EA, customers are able to deploy and self-manage MongoDB database instances in the environment of their choosing, including on-premises, hybrid, and multi-cloud. The MongoDB Enterprise Kubernetes Operator, part of the MongoDB Enterprise Advanced offering, enhances the availability, resilience, and scalability of critical workloads by deploying MongoDB replica sets, sharded MongoDB clusters, and the Ops Manager tool across multiple Kubernetes clusters. Azure Arc further complements this by centrally managing these Kubernetes clusters running anywhere—in Azure, on premises, or even in other clouds. Together, these capabilities ensure that customers can build robust, distributed applications by leveraging the resilience of a strong data layer along with the central management capabilities that Azure Arc offers for its Arc-enabled Kubernetes applications.
"We frequently hear from MongoDB's customers and partners that they're looking for the best way to build AI applications, using the latest models and tools." said Alan Chhabra, Executive Vice President of Partners at MongoDB. "And to address varying business needs, they also want to be able to use multiple tools for data analytics and business insights. Now, with the MongoDB Atlas integration with Azure AI Foundry, customers can power gen AI applications with their own data stored in MongoDB. And with Open Mirroring in Microsoft Fabric, customers can seamlessly sync data between MongoDB Atlas and OneLake for efficient data analysis. Combining the best from Microsoft with the best from MongoDB will help developers push applications even further."
Joint Microsoft and MongoDB customers and partners welcome the expanded collaboration for greater data development flexibility.
Trimble, a leading provider of construction technology, delivers a connected ecosystem of solutions to improve coordination and collaboration between construction teams, phases and processes.
"As an early tester of the new integrations, Trimble views MongoDB Atlas as a premier choice for our data and vector storage. Building RAG architectures for our customers require powerful tools and these workflows need to enable the storage and querying of large collections of data and AI models in near real-time," said Dan Farner, Vice President of Product Development at Trimble. "We're excited to continue to build on MongoDB and look forward to taking advantage of its integrations with Microsoft to accelerate our ML offerings across the construction space."
Eliassen Group, a strategic consulting company that provides business, clinical, and IT services, will use the new Microsoft integrations to drive innovation and provide greater flexibility to their clients.
"We've witnessed the incredible impact MongoDB Atlas has had on our customers' businesses, and we've been equally impressed by Microsoft Azure AI Foundry's capabilities. Now that these powerful platforms are integrated, we're excited to combine the best of both worlds to build AI solutions that our customers will love just as much as we do," said Kolby Kappes, Vice President - Emerging Technology, Eliassen Group.
Available in 48 Azure regions globally, MongoDB Atlas provides joint customers with the powerful capabilities of the document data model. With versatile support for structured and unstructured data, including Atlas Vector Search for RAG-powered applications, MongoDB Atlas accelerates and simplifies how developers build with data.
"By integrating MongoDB Atlas with Microsoft Azure's powerful AI and data analytics tools, we empower our customers to build modern AI applications with unparalleled flexibility and efficiency," said Sandy Gupta, VP, Partner Development ISV, Microsoft. "This collaboration ensures seamless data synchronization, real-time analytics, and robust application development across multi-cloud and hybrid environments."
To read more about MongoDB Atlas on Azure go to https://www.mongodb.com/products/platform/atlas-cloud-providers/azure.
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This press release includes certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements concerning MongoDB's deepened partnership with Microsoft. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "project," "will," "would" or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the effects of the ongoing military conflicts between
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