BigQuery separates storage and compute so organizations can scale data storage and processing independently. Data is stored in Google’s distributed storage system while compute resources are allocated only when queries run. This design reduces infrastructure costs, improves performance, enables unlimited scalability, and allows multiple teams to analyze the same data simultaneously without resource conflicts. The result is faster analytics, better cost optimization, and greater flexibility for modern data-driven businesses.