This podcast episode dives into the fascinating origin and evolution of ClickHouse, a high-performance, column-oriented database that powers real-time analytics across major global platforms. Initially developed in 2008 by Alexey Milovidov at Yandex to handle massive clickstream data for their web analytics service, ClickHouse quickly became known for its ability to process billions of events daily with lightning speed. In 2016, it was open-sourced, sparking widespread adoption and innovation across industries. Companies like Uber, Cloudflare, and eBay began using it to analyze logs, detect fraud, power recommendation engines, and monitor infrastructure in real time. By 2021, ClickHouse had outgrown Yandex and transitioned into an independent company based in the U.S., backed by hundreds of millions in funding. While this shift raised questions about the balance between open-source ideals and commercial interests, the community remains active, with contributions from developers worldwide. The podcast also explores how ClickHouse impacts everyday digital experiences—whether through personalized shopping recommendations, smart home monitoring, or streaming music analytics. Despite growing competition, ClickHouse continues to dominate in query performance and data compression, while evolving to integrate with modern data architectures like data lakes. With ongoing development and a strong ecosystem, ClickHouse remains at the forefront of analytical databases, quietly shaping the digital world behind the scenes.