Uber is driven by analytics and uses up-to-date information to entice customers and direct drivers in its business. The company faced four challenges: business intelligence, real-time analytics, time series aggregates, and geospatial data. To overcome these challenges, Uber adopted SingleStore, a highly responsive database that provides answers with sub-second response times. SingleStore helps Uber make real-world decisions based on analytical results that the company uses to take action on the go. The database supports ad hoc exploration of data, arbitrary drill down including geospatial filtering and geospatial dimensioning of data, and deduplication. With SingleStore, Uber can analyze metrics for its business in real-time, providing insights into demand, supply, and financials. The system is optimized for aggregated data, not individual records, and provides granular geospatial slicing and dicing of data to help analysts understand marketplace properties of some geo-temporal segment of data.