The collaboration between Isha Terdal from Cube, Andrey Pechkurov from QuestDB, and Yitaek Hwang showcases how QuestDB and Cube synergize to create a robust time series data pipeline. QuestDB is an open-source database designed for efficient storage and querying of large volumes of time-stamped data, while Cube is a headless business intelligence platform that organizes data into structured models, enabling consistent metric definitions across applications. Together, they offer a powerful solution for real-time analytics, allowing users to pre-aggregate data and leverage various APIs for seamless integration with different data applications. The blog illustrates the process through an example of building a crypto price analysis platform, demonstrating how QuestDB's fast processing and Cube's data modeling streamline complex data workflows, making them accessible and efficient for diverse use cases such as business intelligence and machine learning.