Azure Cosmos DB on LinkedIn: Design an Azure Cosmos DB for MongoDB database - Training (2024)

FAQs

Is Azure Cosmos DB compatible with MongoDB? ›

Azure Cosmos DB supports MongoDB v4. 2, or MongoDB v5. 0 for vCore clusters. These versions don't support all the newer features and functionality in the versions of MongoDB available on MongoDB Atlas.

From the Azure portal menu or the Home page, select Create a resource. On the New page, search for and select Azure Cosmos DB. On the Select API option page, select the Create option within the NoSQL - Recommend section. Azure Cosmos DB has five APIs: SQL, MongoDB, Gremlin, Table, and Cassandra.

Azure Cosmos DB for MongoDB exposes a built-in role-based access control (RBAC) system that lets you authorize your data requests with a fine-grained, role-based permission model. Users and roles reside within a database and are managed using the Azure CLI, Azure PowerShell, or Azure Resource Manager (ARM).

Azure SQL is based on SQL Server engine, you can easily migrate applications and continue to use the tools, languages, and resources that you're familiar with. Azure Cosmos DB is used for web, mobile, gaming, and IoT application that needs to handle massive amounts of data, reads, and writes at a global scale.

Cosmos DB also does not support time-series data. MongoDB, on the other hand, lets you run key-value, graph, and SQL queries against the same data. And, with MongoDB 5.0, you can build and run applications with support for specific time-series data storage and query patterns.

Azure Cosmos DB offers multiple database APIs, which include NoSQL, MongoDB, PostgreSQL, Cassandra, Gremlin, and Table.

Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, which means it can handle unstructured, semi-structured, structured, and vector data types.

Azure Cosmos DB is a fully managed platform as a service (PaaS).

How do I access MongoDB on Azure? Once you have deployed your MongoDB cluster on Azure, either by using MongoDB Atlas or creating a self-managed cluster, use the cluster's connection string to access either from the command line or through a MongoDB driver in your language of choice.

What is Azure Cosmos DB API for MongoDB account? ›

Cosmos DB for MongoDB implements the wire protocol for MongoDB. This implementation allows transparent compatibility with MongoDB client SDKs, drivers, and tools. Azure Cosmos DB doesn't host the MongoDB database engine.

If you're currently using Azure Table Storage, the Core (SQL) API would be a better choice. It offers a richer query experience with improved indexing over the Table API. If you don't want to rewrite your application, consider migrating to the Azure Cosmos DB Table API.

Cosmos DB can be very expensive if you're using it for scenarios that are better completed in regular old Azure Table Storage or Blob Storage, specifically if you put some thought into your partitioning schemes. No product is a good substitute for thoughtful system design.

2) Is Cosmos DB cheaper than SQL? Comparing Azure Cosmos DB and SQL depends on usage patterns. While Cosmos DB offers unparalleled scalability and global distribution, SQL databases may be more cost-effective for smaller-scale or fixed-location applications. Costs vary based on specific needs and configurations.

Azure Cosmos DB SQL API accounts provide support for querying items using the Structured Query Language (SQL), one of the most familiar and popular query languages, as a JSON query language. In this lab, you will explore how to use these rich query capabilities directly through the Azure Portal.

MongoDB Atlas is available in 40+ Azure regions. Seamlessly add MongoDB Atlas to existing architectures via integrations with Power Apps, Power BI, Azure Synapse Analytics, and Microsoft Purview.

Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, which means it can handle unstructured, semi-structured, structured, and vector data types.

Use Azure Cosmos DB as your unified AI database for data models like relational, document, vector, key-value, graph, and table.