This week, thousands of engineers, database administrators, and developers are gathering in Seattle for Microsoft Build, Microsoft’s annual developer event. In addition to being on site for meetings and learning sessions, MongoDB is excited to showcase our latest innovations for building generative AI apps and more.
First, we’re happy to announce that MongoDB now offers dedicated Search Nodes on Microsoft Azure. We offer both compute-optimized nodes for text or application search workloads, and memory-optimized nodes for vector, semantic search, or gen AI workloads. Search Nodes enhance performance and availability through workload isolation while reducing architectural complexity.
The availability of Search Nodes on Azure is the latest example of how the partnership between MongoDB and Microsoft helps organizations of all sizes boost developer productivity and build modern applications faster. Keep reading for more on how MongoDB’s capabilities and integrations with Microsoft are helping customers create, innovate, and scale applications.
Integrating services and technology to speed AI development
The last year of AI innovation set a clear imperative for every organization—to meet customer expectations, they need to modernize their applications. However, many companies aren’t sure where to start with AI, so MongoDB recently announced the launch of the MongoDB AI Application Program (MAAP) alongside industry-leading AI partners. MAAP will provide customers with strategic advisory, professional services, and an integrated end-to-end technology stack from MongoDB and key partners like Microsoft.
We’ve also made several technology announcements to enable building gen AI applications, including native support for MongoDB Atlas Vector Search in Microsoft Semantic Kernel, and a dedicated MongoDB Atlas integration for OpenAI’s ChatGPT Plugin. With the new integration, developers can seamlessly and securely enhance the power of large language models from OpenAI, Azure OpenAI, and Hugging Face with proprietary data in Atlas to build powerful retrieval-augmented generation applications using Python or C#.
Developing faster with intelligent tools and frameworks
In addition to helping developers build powerful gen AI applications through services like Atlas Vector Search, we’ve been working to enhance developer productivity, making it easier than ever to build applications with MongoDB.
For example, we’ve introduced intelligent features to first-party tools like MongoDB Compass and Atlas Charts that support natural language. We also recently announced AI-powered SQL query conversions in Relational Migrator to help teams easily move their workloads to MongoDB.
MongoDB is expanding the use of AI to enhance its integration with the world’s most popular integrated development environment, Visual Studio Code. We’re excited to announce the MongoDB Participant for the Github CoPilot chat experience, designed to empower developers to generate queries from natural language, understand collection schemas, and instantly access MongoDB documentation. Sign up for the private preview here.
MongoDB also supports a variety of programming frameworks to improve productivity and accelerate application development—while ensuring data consistency and quality. Now generally available, the MongoDB Provider for Entity Framework Core (EF Core), encourages C# developers to build their next project on MongoDB. This new offering helps C# developers—39% of whom use EF Core—unlock the full power of MongoDB using the EF Core APIs and design patterns they already know and love.
Streamlining comprehensive data analysis
For years, MongoDB and Microsoft have facilitated the large-scale analysis of application-generated data to aid business development. Tools like Microsoft Power BI provide a comprehensive view of business intelligence data for developers and analysts with complex data estates using relational databases alongside MongoDB. MongoDB’s Power BI Connector for Atlas—previously supporting Import Mode—now also supports DirectQuery, which we announced a few weeks ago at MongoDB.local NYC. This allows for real-time querying of MongoDB data and is ideal for large datasets.
To further enable customers working in the Microsoft ecosystem, we’ve recently made Atlas Data Federation and Atlas Online Archive generally available on Azure. These services enable users to query, transform, and create views across multiple Atlas databases and Azure cloud storage solutions, like Blob Storage and Data Lake Storage Gen2, simplifying data management and archiving within the Azure ecosystem.
Building the future together
MongoDB's partnership with Microsoft has made developing modern applications faster and easier. We're thrilled to announce these new capabilities at Microsoft Build 2024, and look forward to helping our joint customers build amazing things together this year.
“MongoDB’s relationship with Microsoft has never been better, and with these latest integrations, our momentum continues to grow,” said Alan Chhabra, MongoDB’s EVP of Worldwide Partners. “Already, many of the largest enterprises and most advanced startups in the world run MongoDB Atlas on Microsoft Azure. These latest innovations will empower even more of our customers to take full advantage of their data to build truly transformational generative AI-powered applications.”
MongoDB’s partnership with Microsoft sets projects up for success today and tomorrow by delivering robust, integrated solutions that cater to developers' needs. MongoDB and Microsoft are pushing the boundaries for innovation and service for the developer community.
To learn more about our recent announcements and for the latest product updates, visit our What’s New page. And head to our campaign page to learn more about how to build smarter and develop faster with MongoDB Atlas on Microsoft Azure.