SingleStore's unified database can address performance bottlenecks in traditional data warehouses, such as chronic sluggishness due to streaming data ingestion, long ETL batch windows, query latencies, and high concurrency. By augmenting these patterns with SingleStore, customers can achieve ultra-fast data ingestion, super-low latency, and high concurrency, enabling fast analytics and sub-millisecond performance at-scale. This is achieved through three key capabilities: ultra-fast data ingestion, super-low latencies, and high concurrency. Customers can use SingleStore to augment their data warehouses in various ways, including using it as a data mart, implementing the Lambda architecture for fast analytics, or combining both patterns with the Fast or Lambda Plus architecture. These solutions have been successfully implemented by leading companies across diverse industries, resulting in significant improvements in performance and user experience.