The text discusses the limitations of traditional data warehouses, which are often plagued by four bottlenecks: limited support for streaming ingest, ETL batch windows, query latencies, and concurrency limitations. SingleStore, a modern data warehouse solution, offers a bold opportunity to achieve 100x performance improvements over traditional data warehouses, running data-intensive analytic workloads, and achieving significant cost reductions. The article highlights three companies that have successfully augmented their data warehouses with SingleStore, including a mobile phone manufacturer, a cybersecurity organization, and a media company. These customers have achieved dramatic improvements in performance, reducing latency and increasing concurrency, while also improving customer experience and bottom-line results. The text concludes by emphasizing the importance of considering data warehouse augmentation as an option for organizations struggling with outdated architectures or slow batch processes.