To stream data in real time, organizations need to figure out how to build an effective streaming pipeline that is easy to manage, low cost, scalable, and future-proofed. To address this challenge, enterprise architects have stitched together different tools, yielding decent results on predetermined analytics. But adding new data sources, new analytics, and scale can limit its long-term value. New solutions have emerged that can ingest many disparate datasets into one platform and open up net-new analytics. We'll describe a groundbreaking in-memory database technology powered by GPUs that enables high-speed data ingest and real-time data analytics. Drawing from real-world production use cases and live demos, we'll demonstrate how it's possible to perform advanced analytical queries across billions of rows of data in under a second.