Twitter, now rebranded as X, processes an enormous amount of data daily. From tweets, images, and videos to metadata like user interactions, hashtags, and geolocation, the platform generates and stores billions of data points every single day. This guide delves into the scale of data ingestion, exploring the types of data collected, how it is structured, and the approximate storage requirements.

Beyond raw data, discover the underlying infrastructure that supports X’s database operations, including distributed storage systems, compression techniques, and real-time data processing. Learn how advancements in cloud computing and AI contribute to managing this growing data deluge while maintaining performance, reliability, and scalability for millions of users worldwide.