Cosmos DB Recent Scaling Features Could Optimize Costs

• Recent Cosmos DB improvements help customers improve deployment scaling and performance to optimize costs.
• The features allow customers to override and improve on default settings to address requirements.
• The features require a deep understanding of the service, and improper usage could degrade rather than improve deployment efficiency.
• Customers need to perform analysis and work with configuration code to gain the most benefit.

Azure Cosmos DB provides globally distributed databases that support multiple database modes, such as documents, wide-column data, graphs, key-value pairs, and relational data. The service provides a variety of service level agreements (SLAs), and it will appeal to customers with complex application requirements and those who have expertise in one of the supported query languages like SQL or MongoDB. Deployments can be scaled to meet demand, but several recent features help customers achieve higher utilization of the capacity that they purchase, which is an important tactic for optimizing the costs of the service.