In this article, we’ll learn how Netflix tackled these problems and improved their storage system to handle millions of hours of viewing data every day.

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Netflix handles millions of hours of viewing data daily by using Apache Cassandra for flexible, scalable data storage. The system has evolved to manage the increasing volume and complexity of data, implementing strategies such as horizontal partitioning, compressed storage for older data, and efficient data retrieval methods. To further optimize performance and reduce costs, Netflix redesigned its architecture to categorize data by type and age, improving both storage efficiency and retrieval speeds.

How Netflix Stores 140 Million Hours of Viewing Data Per Day

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The New Approach: Live & Compressed Storage Model