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Merge pull request #301593 from ProfessorKendrick/mongo-db-api-sdk
MongoDB GA (approved for publish on July 31)
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articles/partner-solutions/mongo-db/create.md

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---
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title: "Quickstart: Get Started with MongoDB Atlas Preview"
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title: "Quickstart: Get Started with MongoDB Atlas"
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description: Learn how to create a MongoDB Atlas resource in the Azure portal.
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ms.topic: quickstart
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ms.date: 04/28/2025
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---
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# Quickstart: Get started with MongoDB Atlas Preview
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# Quickstart: Get started with MongoDB Atlas
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In this quickstart, you create a MongoDB Atlas resource in the Azure portal.
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## Prerequisites
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[!INCLUDE [create-prerequisites](../includes/create-prerequisites.md)]
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- You must [subscribe to MongoDB Atlas](overview.md#subscribe-to-mongodb-atlas-preview).
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## Create a resource
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articles/partner-solutions/mongo-db/index.yml

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- linkListType: reference
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links:
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- text: MongoDB Atlas developer tools
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url: tools.md
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url: tools.md

articles/partner-solutions/mongo-db/manage.md

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title: Manage a MongoDB Atlas Resource Through the Azure portal
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description: This article describes management functions for MongoDB Atlas in the Azure portal.
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ms.topic: how-to
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ms.date: 05/29/2025
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ms.date: 07/24/2025
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# Manage a MongoDB Atlas resource
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---
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title: MongoDB Atlas Preview
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title: MongoDB Atlas
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description: Learn about using MongoDB Atlas in Azure Marketplace.
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ms.topic: overview
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ms.date: 04/03/2025
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ai-usage: ai-assisted
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---
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# What is MongoDB Atlas Preview?
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# What is MongoDB Atlas?
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[!INCLUDE [what-is](../includes/what-is.md)]
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MongoDB Atlas allows users to provision and manage Atlas organizations from Azure. It is jointly developed and managed by Microsoft and MongoDB as an Azure Native Integration. [!INCLUDE [what-is](../includes/what-is.md)]
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An example of this kind of integration is the MongoDB Atlas service, which is now in preview. Microsoft and [MongoDB](https://www.mongodb.com/) developed the service and manage it together. You can find it in the [Azure portal](https://portal.azure.com) or get it on [Azure Marketplace](https://azuremarketplace.microsoft.com/).
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## What is it used for?
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Use MongoDB Atlas to build modern AI-enabled apps faster with built-in security, rich querying, and data distribution across the globe. MongoDB Atlas provides native support for full-text search, vector search, and stream processing. This support empowers developers to adapt data models quickly.
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MongoDB Atlas is used to store, manage, and process operational data for cloud applications. It supports scenarios such as real-time analytics, full-text and vector search, and stream processing for event-driven applications.
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Help ensure performance and low latency with a MongoDB Atlas database through intuitive scaling, automated resource adjustments, and global data distribution. Information is protected at every stage with built-in access controls, encryption, and automatic updates.
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Typical use cases include:
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## Capabilities
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- Storing and managing application data for web and mobile apps
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- Enabling real-time analytics and reporting
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- Implementing full-text and vector search capabilities
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- Supporting event-driven architectures with stream processing
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- Managing globally distributed data for low-latency access
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MongoDB Atlas provides the following capabilities:
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## Key Features
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- *Seamless onboarding* as an integrated service on Azure.
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- *Unified billing* via monthly billing on Azure Marketplace.
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- *Resource management* and tracking from the Azure portal.
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The following features distinguish MongoDB Atlas from traditional managed database services and support modern application development and operations:
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## Subscribe to MongoDB Atlas Preview
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- **Native Full-Text and Vector Search**: Enable advanced search capabilities, including full-text and vector-based search, for building intelligent applications.
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- **Stream Processing**: Support event-driven architectures with built-in stream processing features.
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- **Automated Scaling**: Automatically adjust resources to match workload demands, ensuring performance and efficiency.
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- **Global Data Distribution**: Deploy and manage data across multiple regions for low-latency access and high availability.
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- **Comprehensive Security**: Protect data with built-in access controls, encryption, and automated security updates.
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## Subscribe to MongoDB Atlas
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[!INCLUDE [subscribe](../includes/subscribe.md)] **MongoDB Atlas**.
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## Next step
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> [!div class="nextstepaction"]
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> [Create a resource](create.md)
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> [Create a resource](create.md)

articles/partner-solutions/mongo-db/toc.yml

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- name: Get support
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href: https://www.mongodb.com/company/contact
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- name: Troubleshoot
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href: troubleshoot.md
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href: troubleshoot.md
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- name: Reference
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items:
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- name: Azure CLI
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href: /cli/azure/cosmosdb/mongodb
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- name: Azure PowerShell
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href: /powershell/module/az.mongodb
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- name: .NET
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href: /dotnet/api/overview/azure/resourcemanager.mongodbatlas-readme
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- name: Java
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href: /java/api/overview/azure/resourcemanager-mongodbatlas-readme
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- name: Javascript
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href: /javascript/api/overview/azure/arm-mongodbatlas-readme
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- name: Python
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href: /python/api/overview/azure/mgmt-mongodbatlas-readme
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- name: Go
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href: https://github.com/Azure/azure-sdk-for-go/tree/main/sdk/resourcemanager/mongodbatlas/armmongodbatlas
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articles/partner-solutions/mongo-db/tools.md

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title: MongoDB Atlas Preview Developer Resources and Tools
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description: Learn about resources and developer tools available with MongoDB Atlas Preview.
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title: MongoDB Atlas Developer Resources and Tools
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description: Learn about resources and developer tools available with MongoDB Atlas .
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author: ProfessorKendrick
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ms.topic: overview
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# Resources and tools for MongoDB Atlas Preview on Azure
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# Resources and tools for MongoDB Atlas on Azure
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In this article, you learn about resources and tools from MongoDB that can help you use MongoDB Atlas.
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articles/partner-solutions/partners.md

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| [Astro](astronomer/astronomer-overview.md) | Deploy a fully managed and seamless Apache Airflow on Astro on Azure. |
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|[Confluent](apache-kafka-confluent-cloud/overview.md) | Deploy a fully managed, cloud-native Apache Kafka service. |
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| [Informatica](informatica/informatica-overview.md)| A comprehensive AI-powered cloud data management platform for data and application integration, data quality, data governance, and privacy and master data management.|
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| [Mongo DB Atlas (preview)](mongo-db/overview.md) | A fully managed document database with native vector search support for AI applications. |
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| [Mongo DB Atlas](mongo-db/overview.md) | A fully managed document database with native vector search support for AI applications. |
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| [Neon Serverless Postgres](neon/overview.md) |A serverless Postgres solution that leverages the principles of serverless computing to provide scalable and flexible database services. |
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| [Pure Storage Cloud (preview)](pure-storage/overview.md) |Pure Storage Cloud provides secure, efficient, and reliable block storage as a native managed service (STaaS). |
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|[Qumulo](qumulo/qumulo-overview.md) | Use a multi-petabyte scale, single namespace, multi-protocol file data platform with the performance, security, and simplicity to meet the most demanding enterprise workloads. |

articles/partner-solutions/toc.yml

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- name: MongoDB Atlas
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