MongoDB Expands Microsoft Partnership with New AI and Data Analytics Integrations

MongoDB Expands Microsoft Partnership with New AI and Data Analytics Integrations

MongoDB Enterprise Advanced now available on Azure Marketplace for Azure Arc-enabled Kubernetes applications. Open-source document-oriented database MongoDB has announced an expanded partnership with Microsoft at Microsoft Ignite 2024 to deliver tools for AI-driven and data-intensive applications. The collaboration introduces three new capabilities for joint customers. Through the strengthened MongoDB-Microsoft relationship, customers will be able to enhance LLMs (Large Language Models) with proprietary data stored in MongoDB Atlas, generate key business insights faster and deploy MongoDB according to their needs. Also Read: ANI Sues OpenAI Over Alleged Copyright Violation by ChatGPT: Report 1. AI-Powered Apps with MongoDB Atlas and Azure AI Foundry Developers can now use MongoDB Atlas as a vector store within Microsoft Azure AI Foundry. This integration enables retrieval-augmented generation (RAG) applications to leverage enterprise data stored in MongoDB Atlas alongside Microsoft's generative AI tools. Businesses can develop unique chatbots, copilots, internal applications, or customer-facing portals that are grounded in up-to-date enterprise data and context, simplifying workflows without requiring additional coding. 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, MongoDB said. Also Read: Microsoft Expands AI Capabilities with New Autonomous Agents for Businesses 2. Real-Time Insights with Open Mirroring in Microsoft Fabric Open Mirroring in Microsoft Fabric now enables a near real-time connection to keep data synchronised between MongoDB Atlas and OneLake in Microsoft Fabric. This capability supports seamless data synchronisation for advanced analytics, AI predictions, and business intelligence, eliminating the need for complex data replication processes. 3. MongoDB Enterprise Advanced on Azure Marketplace MongoDB Enterprise Advanced (EA) is now available for Azure Arc-enabled Kubernetes applications. This enables organisations to deploy and self-manage MongoDB instances across on-premises, hybrid, and multi-cloud environments. Azure Arc complements MongoDB EA with centralized Kubernetes management, making it easier to build distributed, resilient applications. "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," said Alan Chhabra, Executive Vice President of Partners at MongoDB. Also Read: Microsoft Launches Industry-Specific AI Models to Drive Business Transformation Organisations such as Trimble, a construction technology provider, and Eliassen Group, a consulting company, praised the integrations. Trimble highlighted MongoDB Atlas's role in powering RAG architectures for real-time workflows, while Eliassen Group emphasised the combined value of MongoDB Atlas and Azure AI Foundry for innovative AI solutions. "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, Vice President, Partner Development ISV, Microsoft. "This collaboration ensures seamless data synchronisation, real-time analytics, and robust application development across multi-cloud and hybrid environments." Available in 48 Azure regions globally, MongoDB Atlas provides joint customers with the capabilities of the document data model, aiming to revolutionise AI application development and data analytics across industries.

MongoDB Expands Partnership with Microsoft, Unveils New AI and Data Analytics Integrations

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.

MongoDB and Microsoft expand partnership to advance AI applications and data analytics - SiliconANGLE

MongoDB and Microsoft expand partnership to advance AI applications and data analytics Database company MongoDB Inc. today announced an expanded partnership with Microsoft Corp. that includes new integrations aimed at enhancing artificial intelligence application development, real-time data analytics and deployment flexibility. The first integration sees MongoDB Atlas - MongoDB's fully managed cloud database service - integrated into Microsoft Azure AI Foundry to allow customers to build retrieval-augmented generation applications by combining MongoDB's data capabilities with Azure OpenAI Service. With the integration, developers can enhance large language models with proprietary data stored in MongoDB Atlas without additional coding or pipeline building, streamlining the process of creating chatbots, copilots and enterprise AI applications. Azure AI Foundry's "Chat Playground" feature further simplifies development by enabling real-time testing of LLMs with enterprise data before deployment. The integration offers users a way to augment generative AI models with their own data to ensure their applications are grounded in up-to-date context. The combination of MongoDB Atlas and Azure AI Foundry offers flexibility and efficiency in leveraging enterprise data for advanced AI use cases. The second announcement - real-time data analytics with Microsoft Fabric, sees MongoDB Atlas now supporting Open Mirroring in Microsoft Fabric for a near real-time connection with OneLake. The capability synchronizes data between the two platforms, allowing businesses to generate timely analytics, AI predictions, and business intelligence reports. Through enabling real-time insights, businesses can leverage MongoDB's operational data and Microsoft Fabric's analytics tools to drive strategic decisions and optimize performance across diverse use cases, from AI-powered predictions to reporting. The final announcement allows users to "deploy MongoDB their way" with MongoDB Enterprise Advanced on Azure Marketplace, introducing greater flexibility for organizations deploying applications in Kubernetes environments. With Azure Arc-enabled Kubernetes, customers can deploy and self-manage MongoDB instances across on-premises, multi-cloud and edge environments. "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," Sandy Gupta, vice president of Partner Development ISV at Microsoft, commented on the release. Sahir Azam, chief product officer of MongoDB, spoke with theCUBE, SiliconANGLE Media's live streaming studio, in May, where he discussed how MongoDB is strengthening its database ecosystem and advancing artificial intelligence capabilities with key partners.

MongoDB Expands Azure Integrations, Boosts Real-Time Analytics And GenAI

The database and development platform provider is announcing a number of initiatives at Microsoft Ignite this week that make it easier for customers and partners to work with MongoDB on Azure cloud. MongoDB is extending the scope of integrations between its cloud database development platform and Microsoft Azure, a move the company says will make it easier for partners and customers to build real-time data analytics links and develop generative AI applications. In a series of announcements today at this week's Microsoft Ignite conference, MongoDB is integrating the MongoDB Atlas cloud database with Microsoft's Azure OpenAI services and launching its MongoDB Enterprise Advanced database management tools on the Azure Marketplace. MongoDB said the new integrations will provide partners and customers with greater flexibility in data development on Azure - particularly to help meet the exploding demand for data for AI and generative AI applications. [Related: MongoDB CEO Ittycheria: AI Has Reached 'A Crucible Moment' In Its Development] "I think the pace is phenomenal, things are changing daily," said Alan Chhabra, MongoDB executive vice president of worldwide partners, speaking in an interview with CRN about the rapid growth of AI and GenAI development. He said experimentation with GenAI, especially within larger enterprises, "is through the roof." Despite competing with Microsoft and its Azure Cosmos database, MongoDB has been steadily expanding its alliance with Microsoft - along with its partnerships with Amazon Web Services and Google Cloud - in recent years. Last year MongoDB extended its multi-year strategic partnership with Microsoft, committing to a broad range of initiatives including close cooperation between the two companies' sales teams and making it easier to migrate database workloads to MongoDB Atlas on Azure. That followed steps in 2022 that allowed developers to work with MongoDB Atlas through the Azure Marketplace and Azure Portal. "Microsoft has become our fastest growing partnership," Chhabra said, noting how MongoDB and Microsoft sales representatives cooperate in selling MongoDB for Azure, particularly for AI and GenAI development. At the Ignite event Tuesday MongoDB announced that customers building applications powered by retrieval-augmented generation (RAG) can now select MongoDB Atlas as a vector store in the Microsoft Azure AI Foundry, combining MongoDB Atlas's vector capabilities with generative AI tools and services from Microsoft Azure and Azure Open AI Service. That makes it easier for customers to enhance large language models (LLMs) with proprietary data and build unique chatbots, copilots, internal applications, or customer-facing portals that are grounded in up-to-date enterprise data and context, the company said. Chhabra said the new capabilities are designed to help customers develop and deploy GenAI applications. "It's not easy. There's a lot of confusion. There's also a lot of experimentation, because everyone knows they need to use it [but] they're not sure how. "This integration will make it way easier and seamless for customers to deploy RAG applications leveraging their proprietary data in the combination of their LLMs," Chhabra said. In May MongoDB launched the MongoDB AI Applications Program (MAAP) that provides a complete technology stack, services and other resources to help businesses develop and deploy at scale applications with advanced generative AI capabilities. Chhabra said MongoDB systems integration and consulting partners will benefit from the new integrations "because we're making it easier for them to deploy Gen AI pilots and help them take it to production for customers." While large enterprises are conducting lots of AI development and experimentation in-house, Chhabra said SMBs are looking for more complete packaged AI and GenAI solutions. "I believe there's a large play for ISV application [developers] who are building purpose-built GenAI applications in the cloud on Azure, leveraging the MongoDB stack, leveraging our MAAP program," Chhabra said. "So instead of customers having to build, they can buy GenAI solutions. When big companies like Microsoft work with cutting-edge growing companies like MongoDB, we make it easier for customers and partners to deploy GenAI [and] the whole ecosystem benefits." In another announcement at Ignite, MongoDB said users looking to maximize insights from operational data can now do so in near real-time with Open Mirroring in Microsoft Fabric for MongoDB Atlas. That connection keeps data in sync between MongoDB Atlas and OneLake in Microsoft Fabric, enabling the generation of near real-time analytics, AI-based predictions, and business intelligence reports, according to MongoDB. And the announced launch of MongoDB Enterprise Advanced on Azure Marketplace for Azure Arc-enabled Kubernetes applications gives customers more flexibility to build and operate applications across on-premises, hybrid, multi-cloud, and edge Kubernetes environments. Eliassen Group, a Reading, Mass.-based 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, MongoDB said. "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, at Eliassen Group, in a statement. The new extensions to the Microsoft alliance come a little more than a month after MongoDB debuted MongoDB 8.0, a significant update to the company's core database that offered improved scalability, optimized performance and enhanced enterprise-grade security.

MongoDB Deepens Relationship with Microsoft through New Integrations for AI and Data Analytics and Microsoft Azure Arc Support

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 Today at Microsoft Ignite, MongoDB, Inc. (NASDAQ: MDB) announced an expanded collaboration with Microsoft that introduces three new capabilities for joint customers. First, customers building applications powered by retrieval-augmented generation (RAG) can now select MongoDB Atlas as a vector store in Microsoft Azure AI Foundry, combining MongoDB Atlas's vector capabilities with generative AI tools and services from Microsoft Azure and Azure Open AI. Meanwhile, users looking to maximize insights from operational data can now do so in near real-time with Open Mirroring in Microsoft Fabric for MongoDB Atlas. And the launch of MongoDB Enterprise Advanced (EA) on Azure Marketplace for Azure Arc-enabled Kubernetes applications enables organizations that operate across on-premises, multi-cloud, and edge Kubernetes environments to choose MongoDB. With these capabilities, MongoDB is meeting customers where they are on their innovation journeys, and making it easier for them to unleash the power of data. 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. About MongoDB Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, MongoDB's developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for a wide variety of applications, all in a unified and consistent user experience. MongoDB has more than 50,000 customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.