Eric Hanson, Principal Product Manager at SingleStore, discussed scalable SQL and how it can solve legacy database limitations for time series data. He highlighted SingleStore's capabilities in supporting high ingest rates, low-latency queries, and concurrency needs. With its built-in support for schema and ANSI SQL, SingleStore is a strong candidate for time series workloads. The database has features such as fast query processing through vectorization and compilation, excellent data compression, and powerful SQL Window function extensions that are ideal for time series data. Additionally, SingleStore provides full SQL capability, transactional consistency, backup and restore, cluster management, rowstore indexes, columnstore concurrency, high availability, and the ability to handle general-purpose applications like data warehouses and operational data stores. The database is highly scalable with a scale-out architecture, making it suitable for large workloads and large data volumes.