Lyft, a major rideshare company, has transitioned its analytics system from Apache Druid to ClickHouse Cloud to better manage the vast amounts of data generated from providing over 800 million rides annually across the U.S. and Canada. This shift was driven by the need for a more efficient, scalable, and cost-effective solution that could support both batch and real-time data processing. ClickHouse Cloud offers high performance, simplified infrastructure, and reduced operational costs, which have significantly improved Lyft's data operations. The migration involved overcoming challenges such as adapting to the new cloud features and reworking internal systems. The real-time analytics are crucial for Lyft's day-to-day operations, enabling quick decision-making in areas like supply and demand tracking and campaign targeting. Meanwhile, batch data supports long-term strategic insights and efficient resource use. Lyft continues to enhance its data platform by integrating ClickHouse Cloud more deeply into its broader data infrastructure, focusing on data completeness, discovery, and accessibility to foster a more data-driven culture.