Here is a 1-paragraph summary of the text, covering key points in an objective, neutral, and interesting tone: Propel's Propellers are a unit of compute that determine the speed and cost of queries in their analytics platform. The larger the Propeller, the faster the queries and the higher the cost. Users can choose from various Propeller sizes, ranging from P1_X_SMALL to P1_X_LARGE, each with its own capacity and price per processed GB. To select the optimal Propeller size for a use case, users can use the Metric Playground in Propel's Console, which allows them to test different Propellers and find the best balance between cost and performance. Propel's customers use Propellers for various purposes, including optimizing for fast response times on large datasets, reducing costs on small datasets and non-core workflows, and optimizing for development and production environments. With Propellers, users can easily select the optimal cost and query speed for each customer-facing analytics use case, making it easier to manage their data and improve performance.