You can use an API on top of your Snowflake data in situations such as internal analytics, usage metering, or using Snowflake as the application database. For internal analytics, you want to empower users to access their needed data for better decision-making. For usage metering, you need to track and bill customers based on their monthly usage. When using Snowflake as the application database, you need a way to quickly and securely access user data from your product. To use an API on top of Snowflake, you can leverage its REST API or language-specific connectors like Python's Snowflake connector package. Alternatively, you can utilize an analytics platform that includes a semantic layer, such as Propel, which excels in low latency and high concurrency, offering better timezone handling and simplifying multi-tenant application development.