Close Menu
    DevStackTipsDevStackTips
    • Home
    • News & Updates
      1. Tech & Work
      2. View All

      Error’d: Pickup Sticklers

      September 27, 2025

      From Prompt To Partner: Designing Your Custom AI Assistant

      September 27, 2025

      Microsoft unveils reimagined Marketplace for cloud solutions, AI apps, and more

      September 27, 2025

      Design Dialects: Breaking the Rules, Not the System

      September 27, 2025

      Building personal apps with open source and AI

      September 12, 2025

      What Can We Actually Do With corner-shape?

      September 12, 2025

      Craft, Clarity, and Care: The Story and Work of Mengchu Yao

      September 12, 2025

      Cailabs secures €57M to accelerate growth and industrial scale-up

      September 12, 2025
    • Development
      1. Algorithms & Data Structures
      2. Artificial Intelligence
      3. Back-End Development
      4. Databases
      5. Front-End Development
      6. Libraries & Frameworks
      7. Machine Learning
      8. Security
      9. Software Engineering
      10. Tools & IDEs
      11. Web Design
      12. Web Development
      13. Web Security
      14. Programming Languages
        • PHP
        • JavaScript
      Featured

      Using phpinfo() to Debug Common and Not-so-Common PHP Errors and Warnings

      September 28, 2025
      Recent

      Using phpinfo() to Debug Common and Not-so-Common PHP Errors and Warnings

      September 28, 2025

      Mastering PHP File Uploads: A Guide to php.ini Settings and Code Examples

      September 28, 2025

      The first browser with JavaScript landed 30 years ago

      September 27, 2025
    • Operating Systems
      1. Windows
      2. Linux
      3. macOS
      Featured
      Recent
    • Learning Resources
      • Books
      • Cheatsheets
      • Tutorials & Guides
    Home»Development»Databases»MongoDB Atlas is Now Available as a Microsoft Azure Native Integration

    MongoDB Atlas is Now Available as a Microsoft Azure Native Integration

    May 14, 2025

    Since 2019, MongoDB and Microsoft Azure have striven to make it easy for enterprises to launch cutting-edge, modern applications. Key to this effort—and to enabling organizations everywhere to make an impact with AI—has been our work integrating MongoDB Atlas with the Microsoft Intelligent Data Platform. Our aim is to give developers a streamlined, fully integrated experience that they’ll love to use.
    So I’m very happy to announce the public preview of MongoDB Atlas as an Azure Native Integration (ANI).

    This latest step in MongoDB’s collaboration with Microsoft means that enterprise customers will be able to easily create and manage MongoDB Atlas organizations while also consolidating billing for Atlas within the Azure console, empowering them to interact with MongoDB Atlas as if it were a first-party service from Azure.

    I am also pleased to announce MongoDB Atlas on Azure Service Connector, one of several new integrations set to follow directly from the MongoDB Atlas as an Azure Native Integration announcement. Azure Service Connector makes it easy for developers to securely connect Azure compute services to backing services like databases, now including MongoDB Atlas.

    MongoDB’s mission has always been to empower our customers to move fast with data. With MongoDB Atlas as a native integrated service to Azure, we’re unlocking new possibilities for organizations to harness real-time insights, scale globally, and to accelerate their AI-driven roadmaps—all while reducing operational overhead. With Azure’s robust ecosystem of AI and analytics tools, teams can build and innovate with greater confidence, ultimately transforming how they serve their customers and shaping the future of software.

    “Integrating MongoDB Atlas as a Microsoft Azure Native Integration marks a significant milestone in our partnership with MongoDB. This integration empowers our customers to seamlessly manage their MongoDB Atlas resources within the Azure ecosystem, including unified billing and robust security features,” said Sandy Gupta, Vice President, Global Software Companies Ecosystem, Microsoft. “By simplifying operations and reducing technical complexity, we are enabling organizations to innovate faster and deliver exceptional value to their customers.”

    Why this matters: Accelerated development & seamless operations

    This streamlined approach reduces technical and organizational complexity, with organizations benefiting from integrated billing, consolidated support, and simplified deployment.

    Connecting a database platform to external services typically requires juggling multiple portals, credentials, and security configurations. Starting today, with MongoDB Atlas as an Azure Native Integration, organizations can:

    • Create and manage Atlas organizations directly within Azure, including the Azure Portal UI and CLI/SDK/ARM.

    • Enjoy consolidated billing for both Azure and MongoDB Atlas.

    • Access Azure’s AI services, data analytics, and more—all while harnessing the flexible, scalable power of MongoDB Atlas.

    It’s worth dwelling for a minute on the simplified onboarding and billing component of ANI, one of the biggest benefits of this integration for customers. As an Azure Native Integration, users can create their MongoDB Atlas organization and select their company billing plan directly from Azure, automatically applying the Azure billing plan to the Atlas Organization. This is made possible by leveraging Azure’s comprehensive suite of billing and cost management tools, providing enterprises with enhanced control and visibility over their expenditures.

    Benefits of using MongoDB Atlas and Microsoft Azure together

    This latest MongoDB Atlas integration on Azure builds on a strong foundation of technical collaboration. Together, MongoDB Atlas on Azure already delivers a powerful set of integrations that offer customers and development teams a wide range of benefits, including:

    • Unified workloads: MongoDB Atlas offers a single platform that supports a range of workloads, from transactional, time series, and search, to real-time analytics. With native integration on Azure, teams can quickly build across a wide variety of data-driven use cases. This can range from e-commerce transactions to generative AI applications, all without any re-architecting.

    • Streamline AI integration: Accelerate machine learning (ML) workflows and generative AI projects with minimal configuration. Organizations can connect to Azure AI Foundry, Azure OpenAI Service, Microsoft Fabric, or Azure Databricks for advanced analytics, and MongoDB Atlas automatically scales in response to dynamic workloads.

    • End-to-end security and compliance: MongoDB Atlas integrates with Microsoft Entra ID (formerly Azure AD), Azure Key Vault, and Azure private link for secure single sign-on, encryption key management, and private networking, respectively. With Microsoft Purview, organizations can meet stringent governance and compliance requirements, and teams remain agile without sacrificing enterprise-grade security.

    • Scalability and global footprint: Azure’s extensive regional coverage enables organizations to deploy MongoDB Atlas in 40+ Azure regions worldwide. This ensures data remains close to users for low-latency, high-performance applications.

    How to deploy MongoDB Atlas as an Azure Native Integration

    1. Search for MongoDB Atlas in the Azure Portal and the Azure Marketplace.

    Screenshot showing the search function to search for MongoDB Atlas in the Azure portal

    2. Create a MongoDB Atlas Organization and choose an Azure billing plan.

    Screenshot showing the dashboard for setting up a MongoDB Atlas organization and choosing an Azure plan

    That’s it! You’ve successfully created an Atlas Organization.

    Screenshot of the dashboard for managing your MongoDB Atlas Organization within the Azure portal

    From your new Atlas Organization, you can start taking advantage of other Azure services already integrated into MongoDB Atlas:

    1. Configure security and network settings using existing Azure Virtual Networks and Azure Private Link, as required.

    2. Begin building AI capabilities into applications by connecting to Azure AI Foundry, Azure Databricks, or Microsoft Fabric.

    Get started with deploying MongoDB Atlas as an Azure Native Integration through our quick start guide.

    Source: Read More

    Facebook Twitter Reddit Email Copy Link
    Previous ArticleCreate a unit testing framework for PostgreSQL using the pgTAP extension
    Next Article Scaling Amazon RDS for MySQL performance for Careem’s digital platform on AWS

    Related Posts

    Development

    Using phpinfo() to Debug Common and Not-so-Common PHP Errors and Warnings

    September 28, 2025
    Development

    Mastering PHP File Uploads: A Guide to php.ini Settings and Code Examples

    September 28, 2025
    Leave A Reply Cancel Reply

    For security, use of Google's reCAPTCHA service is required which is subject to the Google Privacy Policy and Terms of Use.

    Continue Reading

    Master Data Management: The Key to Improved Analytics Reporting

    Development

    How to Use Constructors in Java: A Beginner’s Guide

    Development

    Fortinet FortiWeb Instances Hacked With Webshells Following Public PoC Exploits

    Security

    Generative AI Development: Powering the Next Wave of Smart, Creative Applications✨

    Web Development

    Highlights

    Microsoft Releases a Comprehensive Guide to Failure Modes in Agentic AI Systems

    April 27, 2025

    As agentic AI systems evolve, the complexity of ensuring their reliability, security, and safety grows…

    Making Animations Smarter with Data Binding: Creating a Dynamic Gold Calculator in Rive

    July 15, 2025

    A Coding Guide to Build an Intelligent Conversational AI Agent with Agent Memory Using Cognee and Free Hugging Face Models

    July 31, 2025

    Unstructured data extraction made easy: A how-to guide

    September 6, 2025
    © DevStackTips 2025. All rights reserved.
    • Contact
    • Privacy Policy

    Type above and press Enter to search. Press Esc to cancel.