🌍 Explores Red, a social media company with a vast user base of over 200 million monthly active users, and their use of StarRocks for real-time analytics. Red processes over 100 billion rows of data daily on more than 30,000 CPU cores, achieving an average latency of just 200 milliseconds, a critical factor for their customer-facing applications.

📈 Red also employs StarRocks for internal reporting analytics on Hive, managing an enormous data scale exceeding a thousand petabytes with over 10,000 Hive tables. Initially using Presto, they faced operational and performance challenges, including high availability concerns.

🚀 The highlight of Red's journey is their switch to StarRocks for their data lake, which brought a 6x-7x performance boost and a 90% reduction in P90 latency. This move significantly lowered their operational overhead and simplified their technology infrastructure, benefiting deployment, maintenance, and the learning curve for their engineers.

📊 Additionally, the video details how StarRocks' support for Trino and Presto dialects facilitated an efficient and effective migration process, allowing seamless integration with their existing Hive setup without extensive SQL modifications.

🎥 This video is part of our 'Trino vs. StarRocks - How to Get Data Warehouse Performance on the Lakehouse' webinar. To watch in full, visit    • Trino Vs StarRocks - How to Get Data ...  

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