Self-Host with the ease of PaaS

Deploy MongoDB
on Azure

Easily Deploy MongoDB on Microsoft Azure using CNDI.
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MongoDB and Azure Connection Online

Deploying MongoDB on Azure with CNDI offers a streamlined and efficient process to set up and manage your MongoDB database. With CNDI's automated infrastructure provisioning, you can quickly deploy scalable MongoDB clusters that cater to your data storage needs. Running MongoDB clusters with CNDI on AKS is more cost-effective than Azure Cosmos and MongoDB Atlas while also being more flexible. Thanks to GitOps, changing your cluster infrastructure or config is as simple as making a Pull Request.

AKS (Azure Kubernetes Service)

AKS is Microsoft Azure’s official managed Kubernetes Service. Running your MongoDB cluster on AKS enables deep integration with Active Directory. With automation of control plane operations, upgrades, and patches AKS is the most popular way to run Kubernetes on Azure.

Scalable database cluster

Manage infrastructure and configuration from git

No license fee

What is MongoDB

MongoDB is a leading NoSQL database that provides a flexible and scalable solution for managing and storing data. It offers a document-oriented approach, allowing developers to store, retrieve, and manipulate data in a flexible, JSON-like format. MongoDB's flexible schema, automatic sharding, and horizontal scalability make it an ideal choice for handling large volumes of unstructured and semi-structured data, enabling organizations to build modern applications that require agility and scalability.

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Who is it for?

MongoDB is designed for developers, data architects, and organizations seeking a flexible and scalable solution for managing and storing data. It caters to those dealing with unstructured and semi-structured data, such as developers of modern applications, content management systems, and data-intensive applications. MongoDB's agile schema, horizontal scalability, and rich querying capabilities make it an excellent choice for those seeking agility and scalability in their data storage and processing.