Data has become one of the most valuable assets for businesses of all sizes. But managing and storing data can be a daunting task, especially when dealing with large amounts of information. That’s why many companies resort to using cloud databases.
Cloud databases are a type of database hosted on a cloud computing platform. They offer many of the same features as traditional databases, such as the ability to store and manage data, but with the added benefits of scalability, high availability, and ease of access.
This means that users can easily access and manage their data from anywhere with an internet connection and can scale their database resources up or down as needed. Cybercrime Magazine’s forecast reveals 100 zettabytes of data will be stored in the cloud by 2025.
Leading the database provider industry is MongoDB, which provides document-based databases that are flexible, scalable, and well-suited for large amounts of unstructured data.
And while it has its own cloud platform, MongoDB also works well with other platform providers. This makes it an ideal choice for those who’ve started building apps on other platforms but are in need of flexible databases.
Microsoft Azure is one of the most widely used cloud platforms today. According to Statista’s charts, it had a 40% revenue growth worldwide in Q4 of 2022. It is typically used for running applications, developing software, building artificial intelligence algorithms, and more.
The good news is developers can run MongoDB on Microsoft Azure. The combination of the two provides enhanced reliability and scalability for users. And there are a few ways to get started with MongoDB on Azure.
Use Azure Cosmos DB
When searching for MongoDB on Microsoft Azure, results will show Azure Cosmos DB. It is an emulation API that is somewhat compatible with MongoDB. It is Azure’s MongoDB-as-a-service offering.
If you start with this, note that Cosmos DB offers limited features compared to MongoDB Atlas since it is not a fully managed database. It has no server side code, and configuration is based on provisioned throughput. It fails 67% of compatibility tests.
Download MongoDB Atlas from the Azure Marketplace
The Azure Marketplace is where users can buy and integrate third-party apps on Azure. You can download MongoDB Atlas from here.
MongoDB Atlas is a fully managed cloud database service that handles all of the deploying and managing of data. It is the best way to run MongoDB as the service is offered by the MongoDB team themselves.
Connect to Microsoft Azure from MongoDB Atlas
You have the option to start from MongoDB Atlas instead and then connect to Microsoft Azure from there. First, create an account on MongoDB Atlas.
The next step is to create a cluster. This is because MongoDB is typically deployed as a cluster of at least three nodes. Choose from the clusters available: Shared Clusters, Dedicated Clusters, or Dedicated Multi-region Clusters. After choosing your path, you’ll be prompted to select your provider. Select Microsoft Azure, then specify your region.
If you want to create a free cluster for now, start with the M0 tier. Follow the onscreen instructions on how to set up connection security for the cluster. This will make sure your IP address is authorized to connect to MongoDB Atlas. You can whitelist other IP addresses if preferred.
Next, you’ll have to choose your connection method. If you have an application already, select the Connect Your Application option, and pick your driver. Copy the connection string shown and set up a password and name for your database. Then you can connect your cluster.
Conclusion
In conclusion, cloud databases are the answer for a large amount and complex set of data. For development teams whose application projects are built primarily on Microsoft Azure, they can utilize the reliable features of the MongoDB database.
Running MongoDB on Microsoft Azure can provide organizations with a flexible and scalable solution for their database needs. Cloud computing makes it possible to take advantage of the capabilities of both providers.
More database-related posts can be found here.
