The SingleStore team's experience at Spark Summit highlighted the benefits of using SingleStore for real-time analytics and hybrid transactional/analytical processing (HTAP) workloads. SingleStore excels in scenarios requiring concurrent ingest and query execution, serving analytics from a real-time operational database, and providing structured database schema and indexes for fast lookups and query execution. The SingleStore Spark Connector enables seamless integration with the Apache Spark framework, allowing users to leverage Spark's expressive programming interface and take advantage of optimized data transfer and computation within SingleStore. By converging transactional and analytical processing in a single database, SingleStore powers tight operational feedback loops that can drive revenue growth and cost savings. The team demonstrated this capabilities by processing real-time energy consumption data from tens of millions of devices and appliances.