MongoDB, Microsoft Launch New Integrations for AI, Data Analytics

MongoDB, Inc. announced at Microsoft Ignite 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 Atlas’s vector capabilities with generative AI tools and services from Microsoft Azure and Azure Open AI.

Meanwhile, users looking to maximise insights from operational data can now do so in near real-time with Open Mirroring in Microsoft Fabric for 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.

Benefits of MongoDB’s Innovations with Microsoft

Through the strengthened relationship between the two firms, 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 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  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 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 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 Expanded Collaboration

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, at Eliassen Group.

Available in 48 Azure regions globally, 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, Atlas accelerates and simplifies how developers build with data.

“By integrating 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, at Microsoft. “This collaboration ensures seamless data synchronisation, 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.