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In this quick 5-minute breakdown, we dive into ClickHouse—the blazing-fast, open-source column-oriented database that's dominating real-time analytics in 2026. Originally built by Yandex and now powering giants like Lyft, Uber, and more, ClickHouse is designed for OLAP (Online Analytical Processing). It handles petabyte-scale data, crunches billions of rows per second, and delivers SQL queries in milliseconds—perfect for dashboards, logs, observability, time-series, and big data insights without breaking the bank. We cover: what makes it columnar vs row-oriented, key features (speed, compression, distributed clusters), why it's exploding in popularity, and real-world use cases. Whether you're a dev, data engineer, or just curious about the hottest OLAP tool, this is your intro! #ClickHouse #OLAP #Database #BigData #RealTimeAnalytics #OpenSource #DataEngineering #2026Tech #AnalyticsDatabase Timestamps: 0:00 - Intro: Why ClickHouse is Exploding in 2026 0:30 - What is ClickHouse? Core Definition & History 1:10 - Column-Oriented Magic: Why It's So Much Faster Than Row Databases 1:50 - Key Features: Blazing Speed, Compression, SQL, Distributed Power 2:40 - Real-Time OLAP: Use Cases (Logs, Dashboards, Time-Series, BI) 3:30 - Who Uses It? Big Names & Why Devs Love It 4:00 - Pros, Cons & Getting Started Quick Tips 4:40 - Conclusion: Is ClickHouse Right for You? + Call to Action