We will talk about how Apache Pinot's query feature set has grown tremendously over the past few years and how that growth has shaped Uber's Real Time Analytics Query Architecture. We will dive into the different query engines in Apache Pinot and briefly discuss our legacy and unique Presto over Pinot architecture. Read More

Apache Pinot is a distributed real-time OLAP database, part of a fast-growing segment designed for large-scale, user-facing analytics. Its primary query language is SQL, and it excels at low-latency queries, high throughput, and fresh data. Currently, Pinot supports two SQL dialects, and we are building a compatibility layer to enable pluggable time-series query languages, with Uber's M3 and PromQL as... Read More

The need for real-time analytics has proliferated in the modern data landscape. The industry is moving towards providing analytics to end-users via interactive apps instead of traditional dashboards. Whether it's user-facing analytical applications such as LinkedIn's "Who Viewed My Profile" or an internal monitoring tool used by Uber's city ops team to regulate trips in a region, it is imperative... Read More