Modern AI development requires a data foundation that’s flexible, intelligent, and built to evolve. That’s exactly what MongoDB Atlas on Microsoft Azure delivers.
This datasheet breaks down how you can go from concept to intelligent, production-grade applications faster—without the heavy lifting of stitching together complex infrastructure.
MongoDB Atlas provides a developer-friendly document model that adapts to dynamic data needs, while Microsoft Azure brings the scalability, security, and AI services required to run enterprise-grade workloads. Together, they enable seamless access to the tools you need—like Azure AI Foundry, Azure OpenAI Service, and Microsoft Fabric.
Inside, you’ll learn how to:
- Quickly build generative AI-powered apps using RAG techniques with integrated vector search
- Sync data from MongoDB Atlas to Microsoft Fabric’s OneLake in near real time
- Reduce ETL overhead with mirroring, automated schema mapping, and built-in connectors
- Run MongoDB anywhere—from cloud to the edge—using Azure Arc
- Streamline your developer experience with integrations into VS Code, Azure Functions, and Power BI
Whether you’re deploying AI copilots, real-time dashboards, or adaptive agentic systems, MongoDB Atlas on Azure simplifies the path to innovation—so your teams can focus on building, not managing.
