The primary benefits of Microsoft Azure Cosmos DB include horizontal scalability. The main advantage is that it handles data growth without requiring database redesign when traffic increases. Low latency access is another key benefit, as read and write operations are very fast, which is extremely helpful for real-time applications. Flexibility is also valuable because Microsoft Azure Cosmos DB uses JSON schema format, which contrasts with traditional table schemas that require time-consuming changes. In modernization scenarios where client requirements change rapidly, Microsoft Azure Cosmos DB offers more flexible schema design. High availability is another important feature, as it is well-suited for business-critical systems. My overall experience using Microsoft Azure Cosmos DB with other Azure services shows that it is more flexible compared to SQL Database and more readable because of its JSON format, making it easy to understand. It is more interactive because viewing the Microsoft Azure Cosmos DB schema clearly shows what is happening in the application and what will be achieved. In contrast, SQL requires writing many queries to obtain details, making Microsoft Azure Cosmos DB more suitable and flexible. My team's experience developing with Microsoft Azure Cosmos DB SDKs and APIs has been very comfortable and easy to implement. We are currently migrating .NET applications to Python-based AI solutions using Copilot, where we performed reverse engineering and are moving to forward engineering. We use APIs to connect with Microsoft Azure Cosmos DB and manage database containers and items, performing CRUD operations such as create, delete, and read operations, and querying JSON. We are using REST APIs with Python-based solutions, with a service layer and Microsoft Azure Cosmos DB integration.
