![]() ![]() Server-side-retry (enabled/disabled in the Portal) prevents throttling (429) errors by retrying throttled requests server-side. The Index Policy Editor makes configuring your MongoDB indexes a breeze in the Portal UI. We’re always working on improvements to our user experience. With that in mind, we’ve designed a purpose-built dashboard to show MongoDB developers all the critical metrics to track when building applications on the API for MongoDB. Helpful aggregations such as charts, array statistics, and nested document property counts are intelligently shown based on the data type to make it easy to grasp how the schema and the data contained within your collection is structured.Īs a fully managed cloud-native service, the API for MongoDB has fewer metrics to monitor to ensure that your database is performing well compared to other cloud-hosted services because you are not responsible for maintaining the underlying infrastructure such as shards or VMs. A query and sample size can be specified to filter the data being visualized. As a developer, it’s important to understand the structure of your data, especially with the API for MongoDB, which gives you a lot of flexibility with how you design your data model. Now in preview for API for MongoDB accounts that have Notebooks enabled, the new Schema Analyzer within the Data Explorer helps you visualize the data in your collections. ![]() Simply fill out your application database needs in the boxes (all utilizing familiar MongoDB terminology) and we’ll instantly provide you with an estimate for your Azure Cosmos DB API for MongoDB database in the cloud! Schema Analyzer To make these costs easy and obvious to visualize, we’ve created a capacity calculator for the API for MongoDB. We’ve gathered feedback from MongoDB developers through countless hours of UX studies to create a better getting started experience from account creation onwards.Īdditionally, the MongoDB shell is now built into the portal, making it easy to interact with your database without needing to connect from a client.īuilding your applications on Azure Cosmos DB API for MongoDB in the cloud saves you money by leveraging our economies of scale and operational excellence by managing the database infrastructure for you. Getting started with the Azure Cosmos DB API for MongoDB in the cloud is now easier than ever for MongoDB developers. We’ve worked hard to make many improvements in the Azure Portal to make the API for MongoDB easy and obvious to use for MongoDB developers. This makes it easier for developers to leverage their MongoDB skills while gaining the many benefits of Azure Cosmos DB such as instantaneous scalability, automatic transparent sharding, and five 9’s of availability. The API for MongoDB allows MongoDB developers to treat Azure Cosmos DB as if it were a MongoDB database. On the Azure Cosmos DB API for MongoDB team, we put a lot of time and effort into ensuring that our users have a seamless experience using Azure Cosmos DB.
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