Dialpad, a customer intelligence platform provider, modernized its data infrastructure to support real-time analytics and user-facing features. The company required four core capabilities in a replacement system: focus on streaming data, support for upserts, flexible indexing capabilities, and an open-source core backed by a strong sponsoring company. Dialpad turned to Confluent Cloud for fast and scalable data streaming and StarTree Cloud, powered by Apache Pinot, which provided the necessary scalability and speed for real-time analytics. The new architecture has reduced average end-to-end ingestion latencies from over one minute down to an average of 500 ms, greatly improving data freshness and enabling Dialpad to create new products and features that rely on real-time metrics.